Modern Data Stack ELT Pipeline

@onkarkulkarni8

Hi, I can help you with "Modern Data Stack ELT Pipeline" as per your given project description. We can discuss more in detail during a chat conversation when you are available. I've worked on many PHP projects in recent times. So I am confident on achieving your expected Goals. Please initiate a communication thread to discuss further and start with the project. ⭐ 5.0/5 from a recent client: "Good work delievered thank you for your patience" Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

@mohjib092

Hi there, i understand what you want , i will finish fast with the final report , Can you please come to the chat box so we can easily discuss in details, Thank you ,

@mayankinnovative

My priority will be to help you strengthen, optimize, and make your Modern Data Stack (MDS) pipeline strong, optimized, and production-grade. The entire architecture from Fivetran CDC to Snowflake (RAW, STAGING, ANALYTICS layers) and Power BI DirectQuery will operate with low-latency and high reliability. My point of view: Will tune Fivetran CDC sync via RDS MySQL binary logs. Using Streams and Tasks in Snowflake, you will create an automated ELT pipeline that processes only changed data. Dimensional modeling (Star Schema: FACT_SALES and DIM tables) in the analytics layer will be optimized with clustering keys. Finally I will do the complete documentation handover after Power BI DirectQuery performance tuning (DAX aggregations, reduced latency) and end-to-end data validation checks. Some main questions related to the project: 1. What is the required frequency of data refresh (e.g. 5/15 minutes or near-real-time) from RDS MySQL to Snowflake? 2. Is SCD Type 2 logic required to track historical changes in dimensional tables? 3. Are Snowflake warehouse sizing and auto-suspend settings already set for Power BI DirectQuery? All set to successfully go live with this pipeline with data integrity and strict governance in place.

@AZTURK1

Deploying and tuning this RDS MySQL to Snowflake ELT pipeline requires strict binary log retention on AWS, reliable stream orchestration, and dimensional modeling built for Power BI DirectQuery performance. ✅ Verify AWS RDS MySQL binlog settings (ROW format, image FULL) and IAM roles for Fivetran CDC ingestion. ✅ Deploy and validate Snowflake RAW, STAGING, and ANALYTICS layers with automated Streams and Tasks managing MERGE upserts. ✅ Tune Star Schema tables (FACT_SALES, DIM_*) and warehouse sizing to keep DirectQuery responsive without burning compute credits. ✅ Staged end-to-end dry run executed on test data to verify data parity before production schedule enablement. ✅ 10+ years production experience | 400+ completed projects | 320+ five-star reviews ✅ Microsoft® Certified: MCSA | MCSE | MCT & cPanel Certified (CWSA-2) Are you looking to provision this stack into active cloud accounts, or audit and debug the provided SQL scripts? I can deliver this in 1 day(s) for 21250 INR and can jump on it right now.

@kumarashish99

As a seasoned cloud engineer with a demonstrated mastery over AWS tools and specialty in database management skills, I am confident to deliver exceptional results on your project. My past experiences align closely with your goal of building an end-to-end modern data stack (MDS) pipeline. Notably, I have extensively worked with AWS RDS and Snowflake, ensuring effective management and streamlined data movements across different layers. My profound understanding of CDC-based incremental synchronization will enable me to smoothly integrate Fivetran into the process, guaranteeing holistic data ingestion without compromises. Correspondingly, my strong hold on SQL enables me to swiftly navigate and harness each layer's potential: RAW, STAGING, and ANALYTICS, realizing business-transforming dimensions as you've specified for this project. Lastly, my broad compliance experience ensures your stack remains secure and adheres well to necessary standards such as HIPAA or GDPR. Importantly, my skills also extend into AI/ML integration which might serve future projects or upgrades down the line. Given the scope of this project; backend development for an efficient SQL-optimized ecosystem alongside strategic architectural choices is certain to pay back in terms of improved workflow and rich analyzable data—the kind of outcome that not only saves time but also boosts productivity. Choose me for a worry-free experience where you get the job done impeccably from start to finish.

@ParasTech7

Dear Hiring Manager, Thanks for the job posting and hope you are doing great! I am a Computers grad with 21 years experience in this industry in companies like Microsoft. I have done many such projects (AWS/Snowflake) in the profile here and am rated all 5-stars :) If you want, I can do it for you. More once you revert. Regards, Anurag.

@TechizeBuilder

Dear Client, I read "Modern Data Stack ELT Pipeline" carefully and understand what you're looking to achieve with this Mern Stack Development project. My hands-on experience with Java, SQL, MySQL, Amazon Web Services aligns directly with what you need. I've delivered similar Mern Stack Development work end to end — clean, scalable and on time — and I can share closely related samples and start right away. A few quick questions to get us started: 1. Do you have detailed requirements ready, or should we define the scope together? 2. What's your target timeline for the first working version? 3. Are there existing designs, code or systems I should build on? Thanks & Regards, Deepak

@NEHABHAT92

With over 9+ years of experience in web and mobile app development, I specialize in delivering high-quality IT solutions to turn my clients' ideas into reality. While my primary expertise lies in PHP, .NET, HTML5/CSS3/Responsive Design and WordPress, my proficiency with MySQL is an asset that aligns perfectly with your project's requirement for AWS RDS and Snowflake. I've built complex E-commerce sites, incorporating CMS platforms, and have been actively involved in data integration and storage. By choosing me for this Modern Data Stack ELT Pipeline project, you're opting for a proven team player who understands the significance of reliable automation. My experience with Fivetran's MySQL CDC/Binary Log replication guarantees smooth and incremental data ingestion into Snowflake for better decision-making. Additionally, my knowledge of AWS S3 storage will aid in secure bulk data staging. In conclusion, through this project and my experience in cloud data integration, CDC-based architectures, Snowflake data warehousing along with dimensional modeling & business intelligence reporting through Power BI; I can promise not only an optimized but a future-proof ELT pipeline that revolutionizes your e-commerce data processing pattern. My goal will always be to provide you with more than just a solution- but business efficiency, a reliable framework, and excellent after-support. Please let me know if you have any questions or need any further information.

@artechvisionn

Hey! I can handle this easily. I’ve built this exact kind of end-to-end data pipeline 19 times, including a similar project very recently. Which destination and tools are specified after AWS RDS (MySQL) in your stack? That determines the ingestion method, transformation layer, and how data should be prepared for reporting. I’ll deliver a reliable ELT pipeline from your MySQL source through the agreed warehouse and transformation steps, ready for Power BI reporting. How I would run it: 1. Review the source schema, data volumes, and reporting needs. 2. Build and test ingestion, transformations, and data quality checks. 3. Handover documented pipeline steps, SQL, and deployment details. I’ll pay close attention to incremental loads and safe upserts so refreshes don’t duplicate records or miss changes. This kind of data engineering work is familiar territory for me. Can you share the full technology stack and any key dashboard or refresh requirements? Aakash P.S. I recently completed a similar source-to-warehouse data flow. Just send a "Message" so we can talk :)

@richard031596

You need a modern data stack pipeline that reliably moves transactional data into an analytics warehouse and delivers accurate BI reporting. I can design and maintain cloud data workflows across AWS, Snowflake, SQL transformations, and reporting layers with focus on data quality and scalability. I have worked on data engineering solutions using AWS RDS MySQL, Snowflake, SQL ELT workflows, dimensional modeling, and Power BI dashboards, including pipelines that required incremental data loading, validation, and analytics-ready schemas. For this project, I would review the source data model, ingestion process, transformation logic, warehouse layers, and reporting requirements to ensure the pipeline is reliable and easy to maintain. I can also optimize SQL transformations, warehouse models, and dashboard performance where needed. Can you confirm whether this is a new pipeline implementation or an audit/extension of the existing MDS architecture?

@albert1025dev

Estimated budget: ₹25,000–35,000 Estimated timeline: 7–10 days Hi, i am Albert from Philipin!!! I will build and validate the complete AWS RDS MySQL → Fivetran → Snowflake → Power BI ELT pipeline. I will configure CDC ingestion, RAW/STAGING/ANALYTICS layers, Streams and Tasks, SQL transformations, star-schema modeling, S3 integration, and Power BI DirectQuery with DAX KPIs. I will also test the data flow end-to-end and provide clean SQL, architecture documentation, README, and setup instructions. Best regards, Albert Core questions: 1. Are AWS, Fivetran, Snowflake, and Power BI accounts already available? 2. Do you already have the MySQL source schema and sample data? 3. Should the final Power BI dashboard follow an existing design or KPI list?

@larencea30

Hi, The part I’d validate first is the CDC path from RDS MySQL into Snowflake, because binlog configuration, schema drift, and incremental sync behavior can create downstream inconsistencies if they are not handled correctly from the start. I’d structure the pipeline around clear RAW, STAGING, and ANALYTICS layers, then use incremental transformations, dimensional models, and validation checks before exposing the data to Power BI. I’d also make sure Streams/Tasks and DirectQuery are configured so reporting stays current without unnecessary warehouse cost. My background includes production SaaS and analytics systems, database design, APIs, and data-processing workflows. I’d approach this as a maintainable data platform rather than a one-off dashboard build.

@theyasirahmad

Hi there, I understand that you're looking for expertise in designing and implementing an end-to-end modern data pipeline using AWS RDS, Fivetran, Snowflake, and Power BI. This involves setting up a robust ELT architecture for e-commerce data, ensuring efficient data ingestion, transformation, and visualization. I have extensive experience in cloud data engineering, particularly with AWS services and Snowflake. My approach would involve configuring AWS RDS MySQL as your transactional source, integrating Fivetran for automated CDC-based data ingestion, and setting up the Snowflake architecture with optimized layers for processing and analytics. I would ensure streams and tasks are utilized for incremental changes and scheduled transformations, creating a Star Schema that facilitates efficient reporting in Power BI. With a strong background in SQL and data warehousing, I can help you design a multi-layered architecture that allows seamless data movement and near-real-time reporting. I’ve tackled similar projects, enabling automation in data processing and delivering insightful dashboards. If you're available for a quick chat, I can also show you relevant work from similar projects. Would you like to discuss any specific challenges you anticipate in this project? Regards, YasirA

@gunjan1711

- I can contribute to the Power BI, SQL/MySQL and analytics portions of this modern data stack project, with experience in API-based data integration, data transformation, data modeling and BI reporting. - My freelance work includes extracting data through APIs, cleaning and transforming datasets using Power Query, building optimized data models and creating DAX measures for business KPIs. - I have also worked with Azure SQL and Power BI, including data synchronization, query optimization and interactive reporting for real-time insights. - I can work with MySQL and SQL-based transformations to prepare structured datasets for reporting and analytical models. - My experience includes building business dashboards and analyzing sales data across products, categories, regions and time periods. - I can support the Power BI layer with appropriate dimensional structures, KPI calculations, interactive dashboards and DirectQuery-based reporting where the environment supports it. Reference work is available in my profile.

@jeremyc121

Hi, I’d love to help make this project a great success for you. I’ve worked extensively with modern data pipelines, SQL, Python, and cloud data platforms, and I’m comfortable owning the ELT flow end to end. For this project, I’d first review the source systems and current data model, then set up a clean raw → staging → curated flow in Snowflake. I’d handle incremental loads, transformations, data quality checks, retries, and monitoring so the pipeline is reliable and easy to maintain. I’m also comfortable with dbt, orchestration tools like Airflow, and tuning Snowflake queries/warehouses so performance stays solid without unnecessary compute cost. Before I lock in the timeline, I’d like to know: - what the source systems are - roughly how much data you’re moving - whether this is batch or near-real-time - what you’re currently using for orchestration/transformation Once I have that, I can give you a clear implementation plan and milestone breakdown. Thanks!

@Ammar9087

Hi, Your description reads like a completed project write-up, so before I quote I'd like to confirm what you need me to do. Is it: a) rebuild this pipeline on your own AWS/Snowflake accounts, b) review and fix the attached SQL and architecture, c) extend it with new tables, dashboards or KPIs, or d) something else? For a rebuild following your architecture, I'd do: RDS MySQL as the source, with binary logging enabled Fivetran CDC into a Snowflake RAW layer Streams and Tasks into STAGING, with cleansing and validation Star schema in ANALYTICS (FACT_SALES, DIM_DATE, DIM_CUSTOMER, DIM_PRODUCT, DIM_REGION) Power BI DirectQuery dashboard with DAX KPIs Documentation and a handover walkthrough I'd start by reading your attached SQL, architecture and README files, then confirm scope and price in writing before I begin. Price and time: ₹22,000, 10 days for the full rebuild above, assuming you provide the AWS, Snowflake and Fivetran accounts. Questions: 1) Which of a-d above? 2) Do you already have the accounts and sample data? Thanks, Ammar

@shailender18

Hello, Your requirement is a complete ELT pipeline, where the real challenge is maintaining reliable incremental data movement from AWS RDS/MySQL through Fivetran into Snowflake while keeping transformations and analytics models consistent for Power BI. I have 5+ years of experience with SQL, MySQL, AWS, Snowflake, ETL/ELT pipelines, data warehousing and BI solutions. I can implement the architecture with RDS MySQL → Fivetran CDC → Snowflake RAW/STAGING/ANALYTICS, using Streams and Tasks for incremental processing and automated transformations. I’ll build validation and cleansing logic, dimensional Star Schema models for sales/customer/product/region analysis, and optimize the analytics layer for Power BI DirectQuery. I’ll also configure secure S3-based staging where required and create DAX measures and KPI dashboards aligned with the business reporting needs. Reliability will be addressed through incremental-load validation, error handling, data-quality checks, appropriate warehouse/query optimization and clear separation between ingestion, transformation and reporting layers. You’ll receive the configured pipeline, Snowflake objects/SQL, dimensional models, Power BI dashboard, documentation and deployment/handover guidance. One key point to confirm is the expected data volume and refresh latency, as this will determine the most suitable Fivetran sync and Snowflake warehouse configuration. Best Regards, Shailender

@Cruz1217

Hi, I notice the ELT pipeline relies on Fivetran for incremental CDC-based synchronization, which is where data consistency can be tricky. I'd approach this by setting up real-time sync and monitoring data ingestion. My focus is on ensuring the pipeline handles large volumes of e-commerce data without interruptions. In my experience, a common mistake is underestimating the impact of data transformation on pipeline performance, which can lead to bottlenecks. I'd start by optimizing SQL transformations and using Snowflake Streams to capture incremental data changes, so the client can expect a stable and efficient pipeline that supports near-real-time reporting through Power BI.

@harrsh123

Hi, I’d be interested in working on this project. I understand the complete flow you’re looking for, from AWS RDS MySQL → Fivetran → Snowflake → Power BI. I can help set up the pipeline, including Fivetran CDC/incremental ingestion, Snowflake RAW/STAGING/ANALYTICS layers, SQL transformations, Streams and Tasks, and the final Star Schema for reporting. I can also build the Power BI dashboard with the required KPIs and DAX calculations and make sure the data is properly validated between the source, Snowflake, and Power BI. My main focus would be to keep the pipeline automated, reliable, and easy to maintain rather than just creating a basic demo. I’m happy to discuss your dataset and exact requirements before starting so we can finalize the architecture and deliverables. Thanks, Harsh