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Bindu sree kavuru

@bindusreekavuru

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Data Engineer improving scalable pipelines for analytics and ML with 3+ years.

United States

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What I'm looking for

I’m looking for a Data Engineering role where I can build reliable, cost-efficient pipelines (Python/Spark/Airflow/dbt) that improve data freshness and quality for analytics and ML teams.

I’m a Data Engineer with 3+ years of experience building scalable data pipelines across enterprise and startup environments. I specialize in making data faster, more reliable, and easier to use for analytics and ML teams, using SQL, Python, Spark, Databricks, and cloud platforms like AWS.

In my recent role, I built real-time pipelines with Databricks and Python to process 10,000+ daily API transaction events, enabling fraud and logic-abuse detection models to run on near-live data. I also automated data quality and schema validation checks across production tables, optimized Databricks configurations to cut compute costs by 30%, and improved data freshness from daily to hourly across 15+ microservices—backed by strong results like reducing data quality incidents by 35%.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Apiezy

Aug 2025 - Present (11 months)

Built real-time data pipelines in Databricks and Python to process daily API transaction events for near-live fraud and logic-abuse detection. Improved feature engineering freshness, automated data quality validation, and optimized Databricks configurations to reduce compute costs.

Databricks Python SQL Data Pipelines Feature Engineering Fraud Detection Data Validation Machine Learning

Research Assistant

University at Buffalo

Aug 2024 - May 2025 (9 months)

Engineered end-to-end Python data pipelines for DETAD video prediction data to improve model interpretability and prediction accuracy. Fine-tuned PyTorch-based action spotting models to support scalable experimentation and evaluation workflows.

Python Data Pipelines Deep Learning PyTorch Model Training Model Interpretability Action Spotting data preprocessing

Data Engineer

Accenture

Aug 2022 - Jul 2023 (11 months)

Re-architected a flat warehouse into a star schema to improve BI and analytics query performance. Built ELT pipelines with Airflow and dbt, implemented data governance and quality checks, and migrated reporting to AWS Glue with optimized Spark configurations.

SQL Data Modeling Star Schemas Airflow DBT Data Governance Data Quality AWS Glue Apache Spark Data Warehousing Performance Optimization

Associate Data Engineer

Accenture

Jan 2021 - Aug 2022 (1 year 7 months)

Automated ingestion of client transaction data into a centralized SQL warehouse using Python scripts scheduled via cron jobs. Built SQL and Pandas data validation checks, maintained staging tables for reporting pipelines, and documented stored procedure deployment steps to reduce errors.