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Build and run Databricks pipelines and jobs to migrate data from Amazon Redshift, using AWS services like S3, Glue, and Athena while applying data governance practices.
Lead hands-on development of cloud data pipelines and AI solutions, set architecture standards, and mentor engineers in Python, SQL, and distributed processing.
Validate and document SQL-based data flows for an existing data ecosystem, ensuring accuracy and alignment with current implementations.
Lead a team building and optimizing Salesforce’s AI-driven Customer Success Data Platform, designing scalable data pipelines and integrating AI workflows using Python, SQL, and cloud technologies.
Build and maintain ETL/ELT pipelines connecting NetSuite, Oracle, and other sources to an AWS data lake/warehouse, then create Power BI and Tableau dashboards for healthcare analytics.
Data Engineer to migrate a company’s data stack from Amazon Redshift to Databricks, building and running ETL pipelines while collaborating with stakeholders.
Migrate 400 Tableau reports to Power BI, ensuring visual and functional parity while collaborating with stakeholders in Agile sprints.
Build and maintain scalable data pipelines for a systematic commodities hedge fund, using Python, SQL, and cloud tools to process market and alternative datasets for trading research.
Designs and optimizes data pipelines using Microsoft Fabric, Azure, Databricks, and Python for a high-growth organization.
Designs and maintains scalable data pipelines using SQL, Python, and Databricks to ensure reliable data availability for cross-functional teams.
Designs and optimizes Snowflake-based ETL pipelines in Python and Matillion to feed analytics and AI-ready data solutions for a large retail technology team.
Senior Data Engineer builds and scales data pipelines on Databricks and AWS, designing ETL/ELT workflows for large datasets using Python and SQL.
Designs and builds Azure-based BI and analytics pipelines, integrating data sources and enabling reporting for business insights.
Builds observability systems to analyze device telemetry and support product launches using Python and streaming data pipelines.
Build and optimize AI-driven data platforms for clients, handling infrastructure, ML models, APIs, and front-end to turn big data into business impact.
Senior Clinical Data Engineer builds and optimizes systems for clinical trials, standardizing data and ensuring quality across global studies using Python, R, SQL, and SAS.
Build and maintain AWS-based data pipelines and ETL processes for a global financial data provider, using Python, Spark, and modern cloud tools to enable AI-ready analytics.
Build and maintain ETL pipelines using Python (PySpark) and Azure Synapse Analytics to process and transform data for clients.
Build and maintain scalable data pipelines and ETL processes using Databricks and Azure for a US client, ensuring high data quality in a fully remote role.
Senior Data Engineer builds automated frameworks to enforce data governance policies and standards using Python, SQL, and cloud data pipelines in Monterrey.
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