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Builds and maintains data pipelines and ETL processes to integrate financial platforms (e.g., Yardi, Salesforce) with BI tools, ensuring data quality and alignment with business needs.
Design, build, and optimize large-scale data pipelines and warehouses for a finance-automation SaaS, ensuring data quality and accessibility for analytics and product teams.
Senior Data Engineer builds and transforms financial data pipelines for credit compliance systems, migrating legacy warehouses to Databricks and enabling analytics dashboards.
Build and maintain scalable ETL/ELT pipelines and cloud-native data architectures using Python, Spark, and cloud platforms (AWS/Azure/GCP) to power analytics and ML for global clients.
Build and maintain Azure Data Factory pipelines, orchestrate ETL/ELT workflows, and support Azure SQL/Synapse data warehouses for enterprise clients.
Senior Data Engineer designs and builds scalable data platforms using cloud tools (Azure/GCP/AWS), Databricks, and modern warehouses (Synapse/BigQuery/Redshift/Snowflake) to enable data-driven decisions.
Lead a team building cloud data lakes and pipelines using Databricks, Python, and Azure/GCP, balancing hands-on development with technical leadership.
Builds and maintains scalable data pipelines and ETL workflows using SSIS, Snowflake, SQL, Python, and Airflow to replicate and process BMC Helix data in a SAFe Scrum team.
Builds and maintains scalable data pipelines and ETL workflows using SSIS, Snowflake, SQL, Python, and Apache Airflow for near real-time data replication.
Maintains and enhances data layer, tagging, and analytics for Samsung SDS’s ecommerce platforms using Adobe Analytics/Launch and server-side tracking.
Data Engineer Intern builds and enhances data models and predictive systems using SQL, Python, Spark, and cloud platforms like Azure, while collaborating with data teams and business stakeholders.
Senior Data Engineer ensures banking data quality and regulatory compliance, maintains data lineage, and supports BCBS239 initiatives using SQL and governance frameworks.
Senior Data Engineer builds and maintains data pipelines and models for a fintech platform, migrating legacy systems to Databricks and PySpark while ensuring regulatory compliance and delivering analytics dashboards.
Build and optimize Data Lake and DWH solutions in GCP, using Python/Rust, Kafka, and BigQuery to power business decisions and integrate data pipelines.
Build and maintain cloud data warehouse solutions (Snowflake) and CI/CD pipelines for a global media group, using SQL, dbt, Airflow, and AWS.
Design and maintain scalable data pipelines in Databricks/AWS, process large datasets via Spark, and build web-scraping tools to feed AI-driven analytics and insights.
Build and optimize cloud data lakes and pipelines using Databricks, Python, SQL, and cloud services like Azure/GCP/AWS to deliver scalable analytics solutions.
Lead a team to design and implement scalable data pipelines on GCP using Airflow, BigQuery, Dataflow, and Dataproc, ensuring data quality, security, and compliance.
Lead architecture and development of Snowflake- and Databricks-based analytics systems, set engineering standards, mentor teams, and drive adoption of agile and AI-assisted tools like Claude Code.
Build and maintain scalable data pipelines, cloud data infrastructure, and AI/ML-ready datasets for a global consulting firm.
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