Open to opportunities

Lonima Sharma

@lonimasharma

Message

I am a senior data engineer specializing in cloud-native ELT/ETL and real-time streaming solutions.

United States

Message

What I'm looking for

I seek senior data engineering roles focused on cloud-native ELT/ETL and real-time streaming, emphasizing automation, strong data governance, and cross-functional collaboration to accelerate analytics and compliance.

I am a Senior Data Engineer with 6+ years building scalable ELT/ETL and real-time streaming platforms across financial services, retail, and payments. I specialize in cloud-native AWS architectures—designing modular pipelines, Iceberg-backed data lakes, and dbt transformation layers—that improved data delivery SLAs by 35% and reduced storage costs by 20%.

I drive automation, observability, and governance using CI/CD, Terraform, Airflow, and Lake Formation, cutting pipeline failures by 40% and upskilling 15+ engineers. I focus on delivering secure, high-performance datasets for BI, compliance, and low-latency analytics while enabling faster ML training and cross-environment analytics.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Wellington Management

May 2023 - Present (2 years 3 months)

Architected modular ELT/ETL pipelines processing millions of daily investment transactions and improved data delivery SLAs by 35%. Designed real-time trading event pipelines achieving sub-30 second latency and reduced storage costs by 20% through tiered S3 data lake and Iceberg Tables.

AWS Glue Apache Spark Amazon Kinesis Apache Kafka Amazon S3 AWS Lake Formation DBT Terraform Apache Airflow

Data Engineer

Home Depot

Nov 2020 - Apr 2023 (2 years 5 months)

Engineered scalable ELT workflows using AWS Glue and PySpark for data from 2,000+ retail locations, reducing analytics turnaround by 40%. Implemented real-time streaming pipelines for inventory tracking with under-1-minute latency and improved ETL processing time by 25%.

AWS Glue Pyspark Amazon Kinesis Apache Kafka Amazon S3 Amazon Redshift Apache Airflow Great Expectations

Data Engineer

MoneyGram

Jul 2018 - Oct 2020 (2 years 3 months)

Engineered ETL pipelines using AWS Glue and Python, reducing manual intervention by 50% and cutting maintenance overhead by 30% through legacy migrations. Built real-time fraud detection pipelines with Kinesis and Lambda to enable faster anomaly alerts and investigations.