Lead Data Engineer | Databricks | PySpark | SQL | Python | AWS | Snowflake | Airflow
Lead/Senior Data Engineer with 14+ years of IT experience, including 10+ years specializing in Data Engineering, Data Platforms, and Cloud Analytics. I design and build scalable batch and streaming data solutions using SQL, Python, PySpark, Spark SQL, Databricks, Delta Lake, Apache Airflow, Apache Kafka, Snowflake, and AWS (S3, Glue, Lambda, EC2, IAM, Kinesis). I have extensive experience developing enterprise Data Lake and ETL/ELT solutions, optimizing Spark workloads, designing data models, implementing CI/CD pipelines, and delivering regulatory reporting and analytics platforms for global financial organizations. Currently, I lead a team of engineers at Morgan Stanley, driving the architecture and delivery of high-performance data platforms built on PySpark running on Databricks clusters. I collaborate with cross-functional teams to build reliable, scalable, and cloud-native data solutions that enable data-driven decision-making and business growth. I am actively seeking remote Lead/Senior Data Engineer opportunities where I can contribute my expertise in modern data engineering, technical leadership, cloud platforms, and large-scale data processing.
Member Since
July 9, 2026
Last Active
a month ago