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Omkar Zambre

@omkarzambre

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Data Engineer specializing in scalable ETL, cloud data platforms, and big-data optimization.

India

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What I'm looking for

I seek a role where I can build scalable cloud data platforms, improve data quality and performance, work with Spark/PySpark on AWS/Azure, and contribute to analytics-driven decision-making in a collaborative team.

I am a Data Engineer with 3.7+ years of hands-on experience designing, developing, and maintaining scalable data pipelines and cloud-based data platforms across AWS and Azure. I build ETL/ELT solutions, implement Medallion Architecture, and deliver analytics-ready datasets for BI and CRM systems.

My work includes PySpark and Spark SQL development, Python scripting, and orchestration using AWS Step Functions, EMR, Azure Data Factory, and Databricks. I have implemented data quality, security (IAM/RBAC), GDPR compliance measures, and monitoring with CloudWatch and Azure Functions to ensure reliable production pipelines.

I have driven projects in pharmaceutical sales & marketing analytics and cargo capacity planning, optimizing big-data workloads, tuning Spark jobs, and automating ingestion and processing to provide timely, high-quality data for downstream reporting and operational decision-making.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

eClerx

Jun 2022 - Present (4 years)

Designed and implemented end-to-end Azure and AWS data engineering pipelines delivering curated, analytics-ready datasets for CRM and shipping planning, automated ingestion of multi-client forecasts (~25 GB) and improved data quality and compliance using Medallion Architecture.

Pyspark Python SQL Azure Data Factory Databricks Delta Lake Step Functions Data Modeling