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Design and scale data pipelines for enterprise AI systems and analytics workloads using SQL, ETL/ELT, and cloud data platforms.
Build and maintain ETL pipelines, streaming data flows, and vector databases to power AI-driven marketing platforms using Databricks, Spark, and GCP.
Builds and maintains AWS Lakehouse infrastructure, ELT pipelines, and data models to power analytics and AI features for trade-contractor software.
Designs and builds data pipelines in Azure, using PySpark, SQL, and Unity Catalog to ingest, transform, and visualize large datasets for analytics and reporting.
Convert legacy SAS code to PySpark/SQL, migrate DB2 data to cloud lakes, and build automated testing pipelines on Databricks.
Build and own a modern Data Lakehouse (Delta Lake) for smart metering and IoT telemetry, migrating legacy systems and ensuring data quality across high-volume energy and building automation workloads.
Build and optimize data pipelines using Python, PySpark, and HBase to power analytics and rule-based systems for a fintech-focused software team.
Build and maintain CI/CD pipelines, cloud infrastructure, and Kubernetes clusters for clients using AWS/Azure/GCP, Terraform, and Docker.
Designs and builds data pipelines, warehouses, and integrations using Snowflake, Hadoop, and Informatica for insurance-related systems.
Designs and builds data pipelines, models, and transformations in Snowflake, migrating legacy data and integrating ETL tools like Informatica/Talend.
Build and maintain data pipelines in Snowflake, SQL Server, and PostgreSQL to feed analytics and reporting for an insurer’s underwriting, claims, and policy systems.
Designs and builds scalable data pipelines and infrastructure for AI projects, using Python, SQL, Spark, and cloud platforms like AWS/GCP/Azure.
Build and optimize SQL queries, develop Power BI dashboards, and manage Snowflake/Grafana setups while leading Agile sprints and automation projects for client deliverables.
Design and maintain scalable data pipelines and ETL/ELT processes using Azure tools to enable analytics and reporting for a government-run cannabis retailer.
Senior Data Engineer building and optimizing lakehouse pipelines and models using Snowflake, dbt, and Databricks to power reliable, reusable data products and internal dashboards.
Designs and maintains scalable data pipelines for retail analytics using Google BigQuery and Python to ensure high-quality data management.
Build and maintain scalable data pipelines and microservices in Python/Java to power Autodesk’s generative AI solutions for architecture, engineering, and construction workflows.
Build and maintain scalable data pipelines using Snowflake, Prefect, and Python to support AI-driven investment strategies for institutional clients.
Build and own the AI and data systems powering Tern’s travel-advisor platform, including pipelines, eval harnesses, and monitoring to ensure reliable, high-quality AI features.
Build and optimize real-time data pipelines using Kafka, Flink, and Spark Streaming to power AI-driven enterprise platforms for Fortune 500 clients.
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