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ankit gupta

@ankitgupta10

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GCP Data Engineer building scalable, cost‑effective analytics pipelines with dbt, BigQuery, and Airflow.

India

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What I'm looking for

I seek a role building scalable, production-grade data platforms on GCP where I can lead ETL/ELT design, optimize performance and ensure analytics-ready models with strong testing and documentation.

I am a GCP Data Engineer with 4+ years designing, building, and operating scalable data pipelines and analytics platforms on Google Cloud Platform. I have delivered reliable production-grade solutions using BigQuery, Cloud Storage, Pub/Sub, Dataflow (Apache Beam), Cloud Composer (Airflow), dbt, SQL, and Python while leading on-prem to cloud migrations and implementing incremental ingestion and data quality strategies.

My strengths include performance optimization through partitioning and clustering, automated data quality validation, reusable ingestion frameworks, and building analytics-ready data models that support downstream reporting and Looker Studio dashboards. I hold the Google Cloud Certified Associate Data Engineer and AZ-900 certifications and consistently focus on cost optimization, documentation, and testable, maintainable transformation layers.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Infuse

Jan 2024 - Present (2 years)

Designed and maintained scalable batch data pipelines on GCP using Apache Airflow and Workflows, built dbt-based transformation layers, and implemented incremental ingestion and data quality checks to optimize performance and cost.

BigQuery Cloud Composer Dataflow Pub Sub DBT SQL Python Partitioning Data Quality

Data Engineer

Cognizant

Nov 2021 - Jan 2024 (2 years 2 months)

Migrated on-prem Oracle and flat-file sources to GCP, built reusable ingestion frameworks and full/incremental pipelines across environments, and developed reconciliation frameworks to ensure source-to-target accuracy.