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Lead a small data engineering team at a capital brokerage, building scalable Databricks pipelines and Airflow workflows while balancing hands-on coding with team management.
Senior Data Engineer builds scalable analytics platforms at Asana, transforming raw data into strategic insights using Databricks, SQL, Python, and AI-driven workflows.
Design and build scalable data pipelines on AWS and Snowflake, using Python, SQL, and Spark to enable advanced analytics for clients.
Build and scale data pipelines and warehouses for a regulated AI platform serving financial institutions, using Spark, Snowflake, Kafka, Airflow, and Kubernetes.
Builds and optimizes big-data pipelines using Hadoop, Spark, and SQL for a banking analytics platform, ensuring scalable ETL and reporting.
Senior data engineer builds and maintains scalable data pipelines using Snowflake, DBT, Glue, and Python to deliver analytics and reporting solutions for enterprise clients.
Build and improve data pipelines and warehousing for an AI-driven retail optimization platform using Python/Go and cloud tech.
Build and maintain scalable ETL pipelines and databases for OTC derivatives data, using SQL, Python, Snowflake, and DB2 to support regulatory and business reporting.
Builds and maintains big-data pipelines using Spark, Scala, Hive, and SQL for a financial-sector client, with optional real-time streaming.
Builds and maintains data pipelines to migrate legacy sources (DB2, Teradata, files) into Snowflake, writes Python ETL scripts, and helps business teams create Power BI dashboards for data-driven decisions.
Design and maintain scalable data pipelines using Snowflake, Databricks, Python, and SQL to build ETL/ELT solutions and cloud-native analytics platforms for enterprise reporting.
Build and maintain data pipelines, optimize PostgreSQL/Snowflake systems, and automate data integrity checks for a SaaS platform that helps companies manage ESG disclosures.
Leads a team to design and maintain Unilever’s AI and data architecture platforms, ensuring compliance and integration across global teams.
Lead a team to design and operate scalable, secure data platforms for a major credit union, ensuring high-quality data solutions and stakeholder alignment.
Designs and maintains scalable data pipelines and ETL processes to integrate and process large datasets for analytics and reporting.
Build and maintain cloud-native data pipelines and warehouses to power AI/ML models and analytics for a PropTech client, using Python, Spark, SQL, and tools like Snowflake, Airflow, and Kafka.
Designs and maintains scalable big-data pipelines on Databricks/Delta Lake to feed BI and decision systems, ensuring reliability, cost control, and data quality for an ad-tech platform.
Senior Data Engineer builds secure, scalable pipelines and cloud data infrastructure to power real-time analytics and ML models for a cleantech firm optimizing energy storage and costs.
Builds ETL pipelines and data warehouses from scratch using Snowflake, Python, and Informatica IICS, then exposes clean data via Tableau for ESG and operational dashboards.
Build and maintain ETL pipelines and production ML systems on Azure, deploying models with Databricks and PySpark while ensuring data quality and model performance.
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