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sai ramakanth Jalagari

@sairamakanthjalagari

Cloud Data Engineer at SCIF (State Fund) building AWS data pipelines and Kafka streaming solutions.

At SCIF (State Fund), I led the migration of existing projects to AWS and built data pipelines using AWS Glue, Lambda, and Step Functions. I also designed Kafka streaming solutions and developed pipelines moving data from S3 into MongoDB Atlas.

I’ve designed a Redshift warehouse handling 10+ TB of customer and sales data, and optimized MongoDB indexes, shard keys, and aggregation pipelines to improve query latency by 60%. At CITI, I built AWS data pipelines and a Snowflake-based Customer Data Platform integrating 20+ upstream systems.

Experience

Work history, roles, and key accomplishments

Current

Cloud Data Engineer Sr

Current

SCIF (State Fund)

Oct 2022 - Present (4 years)

Led migration of projects to AWS and built end-to-end data pipelines using AWS Glue, Lambda, and Step Functions. Optimized PySpark and Hive scripts, implemented Spark Structured Streaming, and designed Confluent Kafka streaming solutions.

AWS S3 EC2 Redshift Glue Lambda Step Functions PySpark Hive Kafka Kafka Streams Java Python SQL MongoDB Jenkins CI CD Spark Scala OpenAI RAG SCD2 Data Lake ETL

Data Engineer Sr

CITI

Aug 2020 - Oct 2022 (2 years 2 months)

Designed and maintained data pipelines on AWS, developed ETL processes with AWS Glue, and built scalable data lakes on S3. Implemented real-time streaming with Kinesis and automated infrastructure with CloudFormation and Terraform.

AWS Glue S3 Athena Redshift Kinesis CloudFormation Terraform MongoDB Snowflake fastAPI ETL Data Lake Streaming

Data Engineer

Bank Of America

Jun 2018 - Aug 2020 (2 years 2 months)

Provided technical support and maintenance for Hadoop clusters in a banking environment, ensuring high availability and reliability. Monitored cluster performance and implemented security controls and access policies.

Hadoop Cloudera Manager Ambari Security Data Governance Troubleshooting Cluster Management Software

Data Engineer Jr

Charles Schwab

Jan 2016 - May 2018 (2 years 4 months)

Designed and developed ETL processes using Apache Spark to extract, transform, and load large volumes of data. Implemented Spark jobs in Scala, Python, and Java, and integrated with Hadoop, Hive, and Kafka.