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Architect and build scalable data pipelines and Snowflake warehouse schemas using Airflow/Prefer/Dagster, enforcing DataOps and software engineering best practices.
Designs and maintains ETL pipelines using PySpark and Azure Synapse Analytics to integrate and process data for business insights.
Design and build cloud-native data platforms and modern data warehouses for US clients, enabling future AI/LLM integrations and automated workflows.
Senior Data Engineer rebuilding a bank’s legacy data platform using dbt, Dagster, and OpenShift, migrating to Data Vault 2.0 and real-time pipelines for risk, PnL, and financial data.
Designs and builds ETL pipelines using PySpark and Azure Synapse Analytics to move and transform data for analytics and reporting.
Senior Data Engineer builds and maintains scalable data pipelines and ETL processes using Python/Java/Scala, Spark, Hadoop, and cloud platforms.
Senior Data Engineer builds and scales a modern data platform, designing ETL/ELT pipelines, optimizing Snowflake schemas, and implementing DataOps practices with Airflow or similar tools.
Build and optimize reliable, scalable data pipelines using Python, SQL, PySpark, and Azure tools to feed analytics and AI models for enterprise clients.
Lead the design, build, and operation of complex data pipelines for an AI-driven platform, integrating sources, optimizing infrastructure, and enabling advanced analytics and ML.
Builds Databricks pipelines and migrates Redshift data to Databricks using AWS services like S3, Glue, and Athena.
Lead data engineering teams to build analytics solutions, validate plans, and deliver insights using tools like Alteryx and Power BI for PwC’s Advisory, Assurance, Tax, and Business Services.
Lead the design and optimization of AI-driven data platforms, including real-time pipelines and governance, for a large manufacturing company.
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.
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