SRI OMKAR D Get in Touch
Available for Opportunities

Hi, I'm Sri Omkar D

Data Engineer with 7+ years of experience building scalable batch & near-real-time data pipelines, data lakes, and high-performance warehouse solutions across AWS and Azure.

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01. Technical Stack

Cloud & Big Data

AWS (S3, EMR, Athena, Kinesis, Glue), Azure (ADLS Gen2, Azure Databricks, Key Vault, Monitor), Apache Spark, PySpark, Spark SQL, Databricks Streaming, Hadoop, HiveQL, Sqoop.

Databases & Warehousing

Amazon Redshift, Snowflake, Teradata, Microsoft SQL Server, Exasol, Oracle OLTP, AS400, PostgreSQL, Star/Snowflake Schema, SCD Type 2, CDC.

Engineering & DevOps

Python, SQL, Apache Airflow, FastAPI, SQLAlchemy, Pandas, NumPy, Terraform, Docker, Git, GitHub Actions, Jenkins, CI/CD, Qlik Sense, Tableau, Power BI.

02. Professional Experience

Data Engineer @ Nortek Consulting INC (Herc Rentals Inc.)

Nov 2025 - Present

Florida, USA

  • Developed Python ingestion pipelines routing high-volume operational data from RentalMan, AS400, Oracle OLTP, and Teradata into AWS S3 data lakes.
  • Built near-real-time telemetry processing pipelines using AWS Kinesis and Databricks Streaming for GPS, engine metrics, and fleet utilization analytics.
  • Reduced daily batch runtimes by 25-30% by tuning PySpark partition strategies, optimizing Spark SQL joins, and shifting to incremental loading patterns.
  • Modeled Teradata curated reporting tables using star schemas and partition-aware SQL to power Qlik Sense executive dashboards.

Data Engineer @ Quess Corp (Blue Yonder India Pvt Ltd.)

June 2022 - July 2023

India

  • Engineered high-throughput Azure Databricks pipelines, reducing batch transformation runtimes by 25-30% through unified PySpark transformations.
  • Built custom Python, FastAPI, and SQLAlchemy ingestion frameworks to ingest complex ERP payloads safely into ADLS Gen2.
  • Optimized Snowflake and Exasol analytical layers via advanced query profiling, partition tuning, and SQL performance tuning.
  • Managed orchestration workflows using Airflow alongside secure Terraform-deployed Azure environments (Key Vault, RBAC).

Data Engineer @ Trigent Software (Accenture)

Jan 2020 - June 2022

India

  • Cut runtime by 35-40% on large-scale financial pipelines by diagnosing Spark UI bottlenecks and applying data salting, AQE, and Broadcast Joins.
  • Modernized legacy Ab Initio workflows into Python-based S3 data lakes cataloged via AWS Glue Data Catalog.
  • Designed audit-ready Amazon Redshift dimensional models and structured rigorous source-to-target reconciliation checks.

ETL Developer @ Experis IT (Thomson Reuters)

June 2016 - Sep 2019

India

  • Extracted enterprise SQL Server legacy data into S3 data lakes using Apache Sqoop on AWS EMR.
  • Built AWS Glue and PySpark pipelines to process sales, subscription, and revenue data for Redshift and Athena analytics.

03. Education

2024

Masters in Information Technology Management

California Baptist University, Riverside, CA

2017

B. Tech in Computer Science and Engineering

JNTU-K University, India