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Bhawana Tiwari

@bhawanatiwari

Senior Data Engineer specializing in scalable GCP data pipelines, ELT/ETL orchestration, and reliable production data quality.

India

Message

What I'm looking for

I want to build and scale GCP data platforms—owning API ingestion, Airflow/Composer orchestration, DBT transformations, and BigQuery performance—so teams get reliable, well-tested data with fast troubleshooting and clear monitoring.

I’m a Data Engineer with 4+ year of experience building and maintaining scalable data pipelines on GCP. I focus on production-grade ingestion, ELT transformations, and end-to-end debugging so data teams can trust what they ship.

In my current role as a Senior Data Engineer, I design and maintain end-to-end ETL/ELT pipelines on GCP using BigQuery, Cloud Composer (Apache Airflow), DBT, and GCP Workflow. I orchestrate Python-based Airflow DAGs, implement API-based data ingestion, and integrate multiple sources into BigQuery for centralized analytics.

I also build robust DBT models with testing and validation to maintain high data quality and consistency. From query tuning (partitioning and housekeeping) to monitoring and Tableau dashboard refresh reliability, I aim to minimize failures and downtime while keeping pipelines efficient.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

LTIMindtree

Jan 2024 - Present (2 years 6 months)

Designed and maintained scalable end-to-end ETL/ELT pipelines on GCP using BigQuery, Cloud Composer (Apache Airflow), DBT, and GCP Workflow. Built API-based ingestion, automated ingestion with Fivetran, and handled production monitoring, deployments, and debugging; optimized BigQuery performance and Tableau dashboard refreshes.

GCP BigQuery Cloud Composer DBT Python SQL Apache Airflow ELT Fivetran Data Modeling ETL Data Quality Testing Partitioning Housekeeping Tableau Debugging

Data Engineer

Virtusa

Jan 2021 - Jan 2024 (3 years)

Developed robust, scalable data pipelines using Apache Airflow for ingestion, transformation, and reporting workflows. Used PySpark for preprocessing and transformations, managed BigQuery schemas/table structures, and loaded structured data for downstream analytics.