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Senior Data Engineer
Senior Data Engineer at Fidelity Investments building trading data pipelines that support risk monitoring and AI/ML analytics.
United StatesSenior Data Engineer at Fidelity Investments
Designed and owned AWS-based data pipelines using Glue and EMR (PySpark), processing ~2.5–3M daily trading events and ~400–500GB of market data. Built real-time streaming pipelines with Kafka and Kinesis, and modeled Snowflake data warehouse solutions using Star Schema and SCD Type 2.
PythonSQLPySparkApache SparkAWS GlueAmazon EMRS3Amazon RedshiftAWS LambdaAmazon KinesisSnowflakeKafkaDelta LakeDBTGreat ExpectationsTerraformJenkins
Developed and owned Azure Data Factory pipelines ingesting claims, eligibility, and provider data for ~2–3M members. Built PySpark ETL pipelines on Databricks and modeled Snowflake data warehouse solutions for claims analytics and operational dashboards.
PythonPySparkAzure Data FactoryAzure DatabricksData Lake Storage Gen2Azure Event HubSnowflakePower BI
Developed and owned AWS Glue ETL pipelines processing ~120–180GB/day of retail sales and inventory data. Built PySpark pipelines and designed Redshift data warehouse models (Star Schema) supporting sales performance and inventory tracking.
PythonSQLPySparkAWS GlueS3Amazon RedshiftKafkaAirflowTableau
Pursued a Master of Science in Computer Science at Rowan University from 2024 to 2025.
Pursued a Master of Science in Computer Science at Rowan University from 2024 to 2025.
Profile sourced from Himalayas.