Hierarchical Entity Resolution: Python/RapidFuzz/MongoDB/AWS

@AwaisChaudhry

Hello, I understand you're looking for a Data Engineer with proven expertise in entity resolution and large-scale data processing to tackle a critical data matching project. I have extensive experience using Python and RapidFuzz for data matching tasks, and I've successfully handled similar challenges involving MongoDB where I've linked large datasets while maintaining performance and accuracy. Leveraging blocking strategies and parallel processing has always been a key part of my approach to ensure efficient string comparisons and to meet stringent performance targets. I’m ready to collaborate closely with you, utilizing the existing code and context you've developed to create a robust solution that meets your acceptance criteria. I will ensure that the pipeline identifies external entities and integrates seamlessly into your MongoDB Atlas setup while delivering a Docker container for AWS deployment. Could you clarify the expected timeline for the completion of the data matching pipeline and if there are specific metrics we should focus on during the development? Thanks, Muhammad Awais

@dahani9091

I understand the challenge you're facing with linking these datasets while ensuring efficiency and accuracy. The hierarchical relationships you’ve established provide a solid foundation, but the inconsistencies in naming conventions require a tailored fuzzy matching approach. My strategy would involve first implementing a systematic linkage of Artist IDs using RapidFuzz for robust matching. Once confirmed, we can cascade this to the Album and Track IDs. I would leverage blocking strategies and parallel processing to optimize the handling of high-volume string comparisons, ensuring we meet your performance targets. In a previous project, I successfully built a data matching pipeline for a large media company, processing millions of records with over 95% precision. The solution not only met the performance criteria but also scaled seamlessly. As an upfront value, I recommend starting with a small subset of your data to refine the matching criteria and assess performance before full deployment. I’d love to discuss how we can tackle this together. Please feel free to reach out.

@mannanmaan1425

Hello Kobi, I am excited to submit my proposal for the Hierarchical Entity Resolution project. With a strong background in Data Engineering and extensive experience in Entity Resolution and Data Matching, I am confident in my ability to deliver exceptional results for this project. My expertise in Python, RapidFuzz, MongoDB, and AWS align perfectly with the requirements of this project. I have successfully completed similar projects in the past, showcasing my proficiency in handling large-scale data processing tasks and ensuring accurate entity resolution. Please find my portfolio here: https://www.freelancer.com/u/mannanmaan1425 I am eager to collaborate on this mission-critical data matching pipeline and contribute to linking the two datasets efficiently. My approach will focus on hierarchical cascade matching and optimizing performance to meet the specified targets. I am committed to delivering a high-quality solution that meets the project's acceptance criteria. I look forward to discussing further details and collaborating on this project. Best regards, Abdul

@kazemmojtama

With 5 years of experience on this platform, I am a versatile and driven freelancer capable of handling projects across a wide range of technical fields. I have successfully managed single projects valued at over $30K and am open to long-term collaborations. Additionally, I hold valid certificates from this platform, showcasing my expertise—these can be found in the certificates section along with my results and badges. Whatever your project entails, from technical development to research and beyond, I’m here to deliver results that exceed expectations. Let’s work together to bring your vision to life!

@AITSoft

Hello, I understand that you are seeking a specialized Data Engineer to work on a crucial data matching pipeline involving two large datasets with around 1.5 million total records. The key challenge is efficiently linking unique hierarchical IDs across the databases while dealing with inconsistent naming conventions through robust fuzzy matching. My approach will focus on creating a systematic process to link the Artist IDs first, which will allow for accurate cascading to Albums and Tracks, utilizing efficient blocking strategies and parallel processing to ensure we meet performance targets. Having worked on similar projects, I can showcase my expertise in Python and MongoDB along with optimizing Docker containers for AWS deployment. I will ensure that the solution meets your stringent acceptance criteria regarding processing speed and precision. What specific technologies or frameworks have you considered for the fuzzy matching component of the pipeline? Thanks, Shamshad

@HiraMahmood4072

Hello, With over 7 years of experience in Data Processing and Data Science, I have the expertise required for your Hierarchical Entity Resolution project. I have carefully reviewed the project description and understand the core challenge of linking two large datasets with hierarchical relationships using Python, RapidFuzz, MongoDB, and AWS. To tackle this project, I propose implementing a Hierarchical Cascade methodology to link Artist, Album, and Track IDs efficiently. Utilizing efficient Blocking strategies and Parallel Processing, I will ensure high-volume string comparisons are handled effectively. Additionally, I will create a pipeline that identifies external entities and generates new internal records in the MongoDB cluster. My technical approach involves developing production-ready Python code for speed and data manipulation, optimizing read/write operations for MongoDB Atlas, and delivering a Docker container for AWS deployment with CI/CD integration. I would like to discuss the project further in chat to provide a detailed plan tailored to your requirements. You can visit my Profile: https://www.freelancer.com/u/HiraMahmood4072 Thank you.

@JustinJcob

I'm ready to start right now! With extensive expertise in Entity Resolution, Data Matching, and large-scale Data Processing, I am well-equipped to collaborate with you on the mission-critical data matching pipeline you've described. Having successfully completed similar projects in the past, I assure you of top-notch quality and timely delivery. Let's have a quick chat to discuss your project in detail and review samples of my previous work. I look forward to collaborating with you! Kind regards, Haroon Z .

@softsolution2000

I have extensive experience in Python, Data Processing, Data Science, Docker, and MongoDB, making me an ideal candidate for the "Hierarchical Entity Resolution: Python/RapidFuzz/MongoDB/AWS" project. I am confident in my ability to meet the project's requirements and deliver high-quality results. The budget can be adjusted once we discuss the full scope, and I am committed to completing the project within your budget and timeline. Please review my 15-year-old profile to see my past work. Your satisfaction is my priority, and I am ready to start working on the tasks immediately. Looking forward to the opportunity to collaborate on this project.

@chraheelbhatti

I'm Dr Rahil. I'm experienced Machine Learning and Artificial Intelligence Engineer with 10 yrs of experience in the field of Research & Development and Freelance services. My extensive experience shall be very helpful for you in this project. Let's engage on chat to talk more about the project.

@Muhammadzeesha59

Being a highly experienced and skilled full-stack developer with more than 6 years in the field, I possess a deep understanding of data engineering, processing, and science with extensive expertise in Python. In addition, my recent focus on MongoDB, AWS (including AWS Lambda), and deploying Docker containers have equipped me with the necessary knowledge to tackle your project head-on. With an office both in Pakistan and the UK, I've been providing top-tier solutions globally since 2018. I understand the challenging nature of your project, especially given its large scale and complex hierarchical relationships. My strong background in data matching, entity resolution, and data processing will be invaluable in resolving naming inconsistencies and efficiently linking unique IDs across the two datasets. Parallel processing strategies for high-volume string comparisons are also within my skillset. Lastly, ensuring precise identification of external entities not present in your databases by creating clean records aligns perfectly with my meticulous approach. To sum it up, choosing me for this project means gaining deep expertise in hierarchical cascade approaches to maximize data linkage considering name inconsistencies. Moreover, I can guarantee an optimized pipeline that can process data at-scale without compromising performance or output quality. Let's transform your disparate datasets into a unified and reliable information goldmine!

@abhisaini0188

Hello, As a seasoned data professional, I can confidently say that your large-scale data matching pipeline is right up my alley. Having successfully executed data matching and large-scale data processing operations using Python to ensure high scalability and performance in similar projects, I am confident that I can deliver an optimal and reliable solution for your unique needs. With MongoDB as a pre-requisite, my expertise in optimizing read/write for MongoDB Atlas comes to play as I'm well-versed with working on single cluster deployments. As the lead developer who constructed the system's initial framework,tackling the hierarchical challenges involved in your project resonates strongly with my experience and is something I relish. Additionally, you stressed the need for precision and efficiency, qualities that are already ingrained in me through my years of experience.I've handled high volume string comparisons before and can effortlessly deploy efficient blocking strategies to ensure accurate results. In conclusion, choose me to lead this crucial project because not only do I possess proven expertise in entity resolution and data matching, but my versatile skillset incorporating Python, RapidFuzz, MongoDB and AWS aligns perfectly with your technical specification requirements. Let's get started! Thank you

@juanjosec63

Hello, I’m a data engineer with extensive experience across **Python, Data Processing, MongoDB, and Docker**, with strong skills in **CI/CD** and building high-precision entity resolution pipelines. For your music metadata project, I will develop a hierarchical matching pipeline using advanced fuzzy matching and blocking strategies, ensuring efficient Artist → Album → Track ID linking with automated entity creation, delivered as a Dockerized solution meeting your ≥95% precision and ≥90% recall targets. I’m interested in a long-term collaboration and help scale your projects reliably. — Juan

@mykhaylob4

✋ Hi there. I can build your hierarchical entity resolution pipeline using Python, RapidFuzz, and MongoDB for high-precision data matching. ✔️ I have solid experience in large-scale data matching and entity resolution projects. In a previous project, I linked multi-level datasets with hierarchical relationships, applying fuzzy matching and blocking strategies to merge millions of records while maintaining high precision and recall. ✔️ For your project, I will implement a cascade matching process: first linking Artist IDs, then propagating matches to Albums and Tracks. I will use RapidFuzz for string similarity, parallel processing for performance, and handle creation of new entities directly in MongoDB Atlas. ✔️ I will containerize the pipeline with Docker, prepare it for AWS deployment, and integrate CI/CD for smooth updates. The solution will be optimized to process 100k records under 60 minutes and meet your precision and recall targets. Let’s chat to review your datasets and start building this solution. Best regards, Mykhaylo

@mzdesmag

Hello sir, Did go through your job description and glad to share that I have enormous experience in working with Hierarchical Entity Resolution: Python/RapidFuzz/MongoDB/AWS I'm a seasoned programmer and Engineer with quality experience in Flutter, React, Node.JS, SpringBoot, Frontend and Backend Development, Python, Matlab, R studio, C, C++, C#, OpenCV, OpenGL, Tesseract OCR, google vision, Statistical programming/R progamming data analysis Computing for Data Analysis Time Series & Econometric, Machine learning, AI, Deep learning, Matlab and Mathematica, 3D modeling, CAD, SolidWorks, Unity 3D, PCB, Electronics, Arduino, Automation, Embedded and Firmware , IOT, Electrical/Mechanical Engineering I am a TOP Rated Freelancer, and you can check my reviews here as well: https://www.freelancer.com/u/mzdesmag. Looking forward to potentially working together on this project. Thanks and Best regards, Adekunle.

@maksymh31

Hello Kobi, I am well-prepared to tackle the complex challenge of linking large datasets through hierarchical entity resolution. Drawing from my proven expertise in Python, MongoDB, and data processing, I can ensure the creation of a robust mapping that efficiently addresses naming inconsistencies using advanced fuzzy matching techniques. To begin, I would review the existing system's architecture provided by you, ensuring a seamless integration with your code context. I will implement hierarchical cascade logic, focusing on Artist IDs first, as this will facilitate accurate matching of Albums and Tracks, which is critical for maintaining data integrity. Next, I will leverage Docker for streamlined deployment and CI/CD integration to ensure that our solution is production-ready for AWS. My approach will also incorporate performance optimization strategies, including parallel processing, to guarantee that we meet the targeted acceptance criteria of processing 100k records within 60 minutes. Could you share any specific nuances of the datasets we will be linking that I should be aware of? Thanks, MAKSYM

@mobiwebsolutions

Hi There!!! !!>>> Data engineering project focused on hierarchical entity resolution using Python and MongoDB for large-scale data matching <<<!! The goal is to develop a fast, accurate pipeline that links hierarchical data (Artist → Album → Track) across two large MongoDB datasets using robust fuzzy matching. I have studied your project description very well and understand the importance of precise hierarchical matching combined with performance and scalability on AWS. I am best fit for the project because of my deep experience in Python data processing, MongoDB optimization, and deploying Dockerized solutions with CI/CD. * Implement hierarchical cascade matching from artist down to track level * Use blocking and parallel processing to meet strict performance requirements * Create clean entity records for unmatched external data in MongoDB I provide design, database management, testing, source code, and deployment-ready Docker containers as basic services. With 9+ years experience as a full stack developer and data engineer, I have built similar fuzzy matching and entity resolution pipelines for large datasets. Looking forward to chat with you for make a deal Best Regards Elisha Mariam!

@marcoc7

Hello, With your highly complex entity resolution project at hand, I fully recognize the level of expertise and experience required to meet its unique demands. As a seasoned full-stack developer with a strong emphasis on Python and MongoDB -- crucial components of your project -- I believe I am the perfect candidate for this job. For over 10 years, I've honed my skills in developing efficient Python code for data manipulation and have extensive experience working with large-scale databases like MongoDB as you require. My proficiency in Docker also renders me adept at building robust and deployable containers that ensure seamless integration with AWS, complementing your inimitable infrastructure. Moreover, my ability to not only create but also optimize parallel processing solutions should address your performance concerns. In addition to complying with your strict acceptance criteria, I always strive for excellence which is demonstrated by my track record of delivering successful projects involving data matching, entity resolution and large-scale data processing. Thanks!

@ashinnd84

Hello there, we are a team of developers and designers. Please, send me a message to discuss the work and finish in no time. Thanks Ashish Kumar.

@GraphicsHub2k24

Dedicated Freelancer Ready to Elevate Your Project for Hierarchical Entity Resolution: Python/RapidFuzz/MongoDB/AWS. I have a solid background in Python, Data Processing, Docker, MongoDB, Data Science, CI/CD and Data Engineer, I bring valuable expertise to your project. I have successfully completed many projects with 100% client satisfaction. Clear and timely communication is my priority. I believe in keeping you informed throughout the project lifecycle. I am available for a discussion at your earliest convenience. Please feel free to contact me to further discuss your project details. Thank you for considering my bid. I am excited about the opportunity to contribute to the success of your project. Please visit my portfolio to check my previous work samples, here - https://www.freelancer.com/u/GraphicsHub2k24?page=portfolio&w=f&ngsw-bypass= Best regards, Muhammad Asim Khan