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Abhinav Avula

@abhinavavula

Data Engineer at Intuit building ETL pipelines and improving data-processing performance by 25%.

At Intuit, I design and maintain ETL/ELT pipelines that bring structured and semi-structured data into reliable downstream workflows. I’ve improved recurring data-processing performance by approximately 25% through PySpark and Databricks optimization.

I also build curated Databricks and Snowflake datasets and implement data quality and reconciliation frameworks. Automating workflows with Apache Airflow and AWS Glue reduced manual pipeline intervention by approximately 30%.

Previously, I developed data workflows at Synthons and supported institutional reporting and analysis as a Data Analyst Intern at Northeastern University. Earlier, as an Associate Data Analyst at Azachem, I automated recurring data preparation, reducing manual effort by approximately 20%.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Intuit

May 2025 - Present (1 year 6 months)

Designed and maintained 15+ ETL/ELT pipelines using Python, SQL, PySpark, Databricks, AWS Glue, and Amazon S3. Implemented data quality and reconciliation frameworks, automated workflows with Apache Airflow, and optimized PySpark workloads for improved performance.

Data Engineer

Synthons

Jun 2024 - Apr 2025 (10 months)

Built and enhanced data ingestion and transformation workflows using Python, SQL, and PySpark. Developed scalable Databricks processing jobs, designed Apache Airflow DAGs, and implemented data profiling and reconciliation routines to improve data quality and workflow reliability.

Data Analyst Intern

Northeastern University

May 2024 - Dec 2024 (7 months)

Queried relational datasets using SQL and used Python and Pandas to clean, transform, and validate data. Performed exploratory and statistical analysis to identify trends and reconciled source data against reporting outputs.

SQL Python Pandas Data Cleaning data transformation Data Validation Data Reconciliation Exploratory Data Analysis Statistical Analysis Trend Analysis Variance Analysis

Associate Data Analyst

Azachem

Mar 2021 - Apr 2022 (1 year 1 month)

Extracted, transformed, and prepared operational datasets using SQL and Python to support business reporting. Developed SQL queries for metrics, built Python-based data preparation workflows, and automated recurring tasks to improve consistency.