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I’m looking for a data scientist based anywhere in Latin America to help me create reliable predictive models for a finance-focused project. You’ll start with large historical datasets stored in SQL and deliver models that accurately forecast key financial indicators. I work mainly with Python, so you’ll find Pandas, NumPy, Scikit-learn and, when deep learning is justified, TensorFlow already in place. If you prefer R for certain tasks, that’s perfectly fine as long as the final workflow remains reproducible. The end-user needs to consume insights through Power BI, so once the model is validated I’ll ask you to craft intuitive dashboards that highlight drivers, confidence ranges and any red-flag anomalies the model detects. Solid statistical grounding is esse...

Summary About Northwood Advisors Northwood Advisors is a consulting firm that helps organizations unlock growth through data-driven insights, business analytics, and modern technology solutions. We specialize in business intelligence, data warehousing, and cloud platforms like Microsoft Azure and Power BI, delivering tailored strategies that drive measurable results. About the Role We’re looking for a seasoned Business Development Representative/Manager (BDR/BDM) with a technical background and a consultative, relationship-first approach. Hours: ~10 hrs./week | 30-60 days initially, ideally extend to long term What You’ll Do • Identify and engage prospects, understand their needs, and schedule qualified meetings • Build authentic relationships — no pressure t...

I’m standing up a brand-new business-intelligence stack in Snowflake and need a reusable migration framework built with dbt and solid SQL. The framework has to pull from two kinds of sources—existing relational databases and the steady stream of CSV/Excel flat files our teams export—then land, cleanse, validate, and automate each load all the way into analytics-ready tables. Here’s what I’m after: • A dbt project structured for easy extension, complete with models, seeds, macros, and tests that enforce data-quality rules at every stage. • Parameterised SQL and Snowflake tasks/procedures that orchestrate fully automated loads, from raw landing zones through staging to final marts. • Built-in monitoring and reporting—leveraging dbt tes...

I have an SSIS package that pulls data from an Oracle database through an connection and loads it downstream for ETL processing. The transfer works, but network-level performance is far below what I need. Here is what I’m looking for: • Diagnose the current ADO.NET-to-Oracle connection, identify any network, buffer, or packet-size bottlenecks, and benchmark the baseline throughput. • Tune the SSIS data flow (buffers, rows per batch, commit size, async settings, etc.) and, if necessary, adjust the Oracle driver or provider configuration. • Provide an updated package or detailed change list so I can reproduce the performance gains in other environments. • Produce a concise report summarizing findings, before-and-after metrics, and next-step recommendations....

Job Description We are looking for an experienced Azure Data Engineer / Data Integration Specialist to design and implement a robust, scalable data pipeline that pulls data from the Blackbaud API and loads it into an Azure SQL Database using Azure Data Factory (ADF). The goal is to have a fully automated, secure, and monitored ETL pipeline that runs on a scheduled basis and supports future scaling. Project Scope 1. Data Ingestion Connect to Blackbaud REST APIs (OAuth authentication) Handle pagination, rate limits, and API throttling Extract multiple endpoints (e.g., constituents, gifts, transactions, etc.) 2. Data Transformation Clean, normalize, and structure raw API JSON Handle nulls, schema drift, and data type conversions Add audit fields (load date, source system, batch id) 3. Data Lo...

Background & Goal We're a medium size ecommerce retailer running on Netsuite for our ERP and Big Commerce for our front end website. We're looking for a data engineer to help build a data warehouse for Netsuite, Big Commerce, and potentially some other data platforms to help us analyse our data faster and more accurately. We wish to engage a third party data Engineer to build a central Data Warehouse in Google BigQuery (or other similar service). We want to analyse data in a data visualisation tool such as Power BI. We are also interested in other capability that we will be able to use the data warehousing for in the future (better exception reporting, better customer analytics, new sales & marketing opportunities, etc) We have a capable internal IT/Analytics team, howe...