Open to opportunities

Ujjawal Bhandari

@ujjawalbhandari

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Senior Data Engineer specializing in cloud-native data architectures and scalable ETL pipelines.

United States

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What I'm looking for

I seek senior-level roles building scalable, secure cloud data platforms (GCP/AWS) where I can lead migrations, mentor teams, and drive data-driven decisions.

I am a Senior Data Engineer with eight years of experience designing cloud-native data architectures across GCP and AWS, focused on turning raw data into business value.

I have led large migrations, built secure data lakes and real-time ingestion systems, and optimized analytics platforms to reduce latency and storage costs.

My work blends deep technical skill—BigQuery, Dataflow, Spark, Kafka—with leadership: mentoring engineers and partnering with clinical and business teams to deliver actionable insights.

I prioritize scalable, governed, and cost-efficient solutions that support ML integration and improve operational decision-making while maintaining strict compliance and data security standards.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Change Healthcare

Jun 2024 - Present (1 year 9 months)

Architected cloud-native data platforms using Google Cloud Storage, BigQuery, and Cloud Composer to enable real-time analytics for clinical workflows, reducing data processing latency and improving patient-care decisioning.

BigQuery Google Cloud Storage Cloud Composer Apache Beam Apache Spark Pub Sub Data Migration Data Governance

Data Engineer

Blue Cross Blue Shield

Apr 2022 - May 2024 (2 years 1 month)

Developed and automated ETL/streaming pipelines with Google Cloud Dataflow, Composer, and BigQuery to centralize healthcare data, improving query performance and enabling real-time dashboards for clinical and claims analytics.

Google Cloud Dataflow BigQuery Cloud Composer Pub Sub DBT Cloud Functions Data Modeling Data Quality

Data Engineer

Northwestern Mutual

Nov 2020 - Mar 2022 (1 year 4 months)

Built and maintained ETL pipelines on AWS using Glue, Lambda, and Redshift to ingest and model insurance and financial data, improving availability for analytics and ML use cases.

AWS Glue AWS Lambda Amazon Redshift S3 Step Functions ETL Data Governance

Backend Developer

Home Depot

May 2018 - Oct 2019 (1 year 5 months)

Developed Python/Django backend services and RESTful APIs to support e-commerce operations, optimized database queries and CI/CD pipelines, and reduced manual reporting time by 30%.