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Suniti Shekhawat

@sunitishekhawat

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Senior Data Engineer building scalable cloud data platforms with PySpark and Databricks.

India

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What I'm looking for

I’m looking to build and optimize scalable data platforms end to end—ETL/ELT pipelines, Delta Lake architectures, orchestration, and performance tuning—while collaborating closely in Agile teams with strong stakeholder communication.

I’m a Senior Data Engineer with 10+ years of IT experience, including 5+ years designing scalable data platforms with Databricks, PySpark, Airflow, Hadoop, AWS, and GCP. I focus on turning complex data challenges into robust, production-ready pipelines.

In my current role at EY, I designed an enterprise customer MDM platform using Databricks and Delta Lake, implemented Bronze/Silver/Gold architecture, and built PySpark transformations with incremental MERGE pipelines and a data quality framework. I also optimize Spark jobs with techniques like partitioning, caching, and broadcast joins.

I orchestrate workflows with Airflow and support cloud modernization, including migrating Hadoop workloads to AWS and contributing to cloud architecture. I’ve also built GCP pipelines using Dataflow and BigQuery, and earlier roles strengthened my ETL/ELT, Spark SQL, and data-quality foundations.

Experience

Work history, roles, and key accomplishments

Current

Senior Consultant – Data & Analytics

Current

Nov 2022 - Present (3 years 8 months)

Designed an enterprise customer MDM platform using Databricks and Delta Lake, implementing Bronze/Silver/Gold architecture and PySpark incremental MERGE pipelines. Optimized Spark jobs and orchestrated workflows with Airflow, supporting Hadoop-to-AWS migration and building GCP pipelines with Dataflow and BigQuery.