I am Bindhu Goli, a Senior Data Engineer with over 10 years of experience designing and delivering scalable data platforms on Microsoft Azure and modern data architectures. I specialize in building end-to-end data pipelines, data lakes, and analytics solutions using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and related services to support enterprise analytics, regulatory workloads, and real-time insights. I excel at governance, security, and performance optimizations across hybrid cloud environments. My work includes metadata management with Purview and Unity Catalog, data quality and audit controls, CI/CD automation with Azure DevOps, and delivering BI solutions with Power BI and Tableau. I have collaborated with cross-functional teams across finance, retail, government, and healthcare to translate business rules into reliable ETL/ELT pipelines and data models.

Bindhu Goli

I am Bindhu Goli, a Senior Data Engineer with over 10 years of experience designing and delivering scalable data platforms on Microsoft Azure and modern data architectures. I specialize in building end-to-end data pipelines, data lakes, and analytics solutions using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and related services to support enterprise analytics, regulatory workloads, and real-time insights. I excel at governance, security, and performance optimizations across hybrid cloud environments. My work includes metadata management with Purview and Unity Catalog, data quality and audit controls, CI/CD automation with Azure DevOps, and delivering BI solutions with Power BI and Tableau. I have collaborated with cross-functional teams across finance, retail, government, and healthcare to translate business rules into reliable ETL/ELT pipelines and data models.

Available to hire

I am Bindhu Goli, a Senior Data Engineer with over 10 years of experience designing and delivering scalable data platforms on Microsoft Azure and modern data architectures. I specialize in building end-to-end data pipelines, data lakes, and analytics solutions using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and related services to support enterprise analytics, regulatory workloads, and real-time insights.

I excel at governance, security, and performance optimizations across hybrid cloud environments. My work includes metadata management with Purview and Unity Catalog, data quality and audit controls, CI/CD automation with Azure DevOps, and delivering BI solutions with Power BI and Tableau. I have collaborated with cross-functional teams across finance, retail, government, and healthcare to translate business rules into reliable ETL/ELT pipelines and data models.

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Experience Level

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Work Experience

Senior Data Engineer at PNC Bank
January 1, 2023 - Present
Designed and delivered scalable Azure-based data pipelines using Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Data Lake Storage Gen2 to support enterprise analytics and regulatory workloads. Built production-grade PySpark ETL pipelines to ingest, cleanse, transform, and standardize complex banking datasets across fraud, credit risk, retail banking, and customer analytics domains. Implemented a Delta Lake medallion architecture with bronze, silver, and gold layers to enable trusted data consumption; secured pipelines with Key Vault and managed identities; integrated monitoring and governance.
Senior Azure Data Engineer at Kroger
February 1, 2020 - December 1, 2022
Participated in gathering business requirements to enhance retail processes through Big Data Analytics; designed and developed applications on the data lake to transform raw retail data into analytics-ready formats, enabling improved customer segmentation and promotions. Developed SSIS packages, implemented real-time streaming with Spark Streaming and Kafka, and built Hive-based data models to support BI and analytics across merchandising and promotions.
Big Data Developer at Quotient
March 1, 2018 - January 31, 2020
Enhanced ETL processes using Python, SQL, and Java; implemented Hadoop and Hive for large datasets; built MapReduce frameworks with Pig and Java; automated deployments with Docker and Kubernetes; built real-time streaming with Spark and Kafka; designed data processing solutions with Spark SQL and data warehouse models.
Data Warehouse Developer at U.S Department of Labor
October 1, 2016 - February 28, 2018
Led the development of a student insights dashboard using Azure SQL Database, Azure Blob Storage, ADLS Gen2, and HDInsight; orchestrated streaming into Azure Event Hubs; implemented Spark transformations via Azure Synapse; built 100+ Spark jobs; integrated Unity Catalog with Databricks to strengthen security and governance; leveraged Sigma for real-time dashboards and analytics.
Data Warehouse Developer at Aetna
February 1, 2014 - September 30, 2016
Enhanced ETL workflows using Informatica, SQL, and Python; developed Java-based transformations within Informatica; optimized Oracle interactions; automated ETL tasks with Python; migrated on-prem ETL to Snowflake on Azure; implemented data governance and CI/CD practices; designed scalable ETL/ELT pipelines and data models for reporting and analytics.

Education

Master's Degree at Southern University and A&M College
January 1, 2012 - December 31, 2013
Bachelor's Degree at Jagruti Institute of Engineering and Technology
May 1, 2011 - January 7, 2026

Qualifications

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Industry Experience

Financial Services, Retail, Government, Healthcare