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Lead a team building PySpark/AWS ETL pipelines that ingest SAP, Intelex, SQL and OSI PI data into a cloud data lake and ensure clean, reliable data flows for analytics.
Designs and builds scalable data pipelines and warehouses using Python, Spark, and Snowflake to support analytics and ML workloads for enterprise clients.
Build and maintain Airflow-based data pipelines and orchestrations for a large insurer, using Python, Snowflake, and AWS services.
Builds and maintains scalable data pipelines and infrastructure using Python, SQL, and cloud services to support analytics and machine learning workflows.
Build and maintain data pipelines for trade and communications surveillance, ensuring regulatory compliance and data quality across AWS infrastructure.
Senior Data Engineer builds and scales real-time data pipelines on AWS to process grid sensor data, enabling utilities to meet rising electricity demand from AI data centers and electrification.
Build and migrate ETL/ELT pipelines on Databricks and AWS for a global fund-services provider, using Delta Lake, Spark, and AWS Glue.
Senior Data Engineer builds and maintains HIPAA-compliant data pipelines and models for a healthcare AI product using Python, Dagster, DBT, PostgreSQL, and AWS services.
Lead the end-to-end data architecture—ingestion, processing, modeling, and consumption—using Python, PySpark, Airflow, and AWS services to enable reliable reporting and LLM-driven analytics at scale.
Build and migrate ETL/ELT pipelines on Databricks Delta Lake and AWS, using PySpark, SQL, and AWS Glue to process batch and streaming data for a global fund-services provider.
Design and build cloud-based data pipelines and AI analytics platforms for clients, using tools like Snowflake, AWS Redshift, and Apache Airflow to ingest, process, and transform data at scale.
Build and maintain ETL pipelines using Python, PySpark, AWS Glue, Step Functions, and Lambda to process and transform data for reporting and analytics.
Build and maintain scalable data pipelines and cloud infrastructure using Python, SQL, Airflow, Snowflake, and BigQuery to power analytics and decision-making.
Build and maintain Snowflake data pipelines and warehouses that centralize fund data, automate reporting, and power client-facing analytics dashboards.
Build and maintain scalable data pipelines for market abuse surveillance, ingesting trade, market, and communications data into AWS and Snowflake while enforcing data quality and regulatory compliance.
Build and maintain data pipelines and warehouses to feed analytics and reporting for a pawnshop operator, using SQL, Python, and AWS services.
Build and maintain data pipelines and models for a market-abuse surveillance system using Python, Java, SQL, and AWS tools to process trade, market, and communications data.
Build and maintain full-stack web apps using Node.js/NestJS, Vue.js, and PHP frameworks, with databases like PostgreSQL and AWS services.
Build and maintain full-stack web apps using React, Node.js, and Express, while mentoring junior developers and improving automation systems.
Build and maintain ETL/ELT pipelines and cloud data solutions using AWS, Snowflake, Python, and Go; integrate messaging and CI/CD tooling.
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