I am a data engineer focused on designing, building, and improving end-to-end data pipelines for enterprise-scale applications. I bring hands-on experience with Hadoop, Spark, Azure and AWS, ETL developments, real-time streaming, and data modeling (star schemas, fact and dimension tables) to deliver reliable data for analytics and decision-making. Currently at Wells Fargo in Charlotte, NC, I lead data ingestion and processing initiatives across cloud platforms, implement governance and security practices, and deliver actionable insights through Power BI and Tableau dashboards. I collaborate with cross-functional teams to migrate on-prem data to the cloud and optimize performance and compliance.

Chakravarthi Dongari

I am a data engineer focused on designing, building, and improving end-to-end data pipelines for enterprise-scale applications. I bring hands-on experience with Hadoop, Spark, Azure and AWS, ETL developments, real-time streaming, and data modeling (star schemas, fact and dimension tables) to deliver reliable data for analytics and decision-making. Currently at Wells Fargo in Charlotte, NC, I lead data ingestion and processing initiatives across cloud platforms, implement governance and security practices, and deliver actionable insights through Power BI and Tableau dashboards. I collaborate with cross-functional teams to migrate on-prem data to the cloud and optimize performance and compliance.

Available to hire

I am a data engineer focused on designing, building, and improving end-to-end data pipelines for enterprise-scale applications. I bring hands-on experience with Hadoop, Spark, Azure and AWS, ETL developments, real-time streaming, and data modeling (star schemas, fact and dimension tables) to deliver reliable data for analytics and decision-making.

Currently at Wells Fargo in Charlotte, NC, I lead data ingestion and processing initiatives across cloud platforms, implement governance and security practices, and deliver actionable insights through Power BI and Tableau dashboards. I collaborate with cross-functional teams to migrate on-prem data to the cloud and optimize performance and compliance.

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Experience Level

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Language

English
Fluent

Work Experience

Data Engineer at Wells Fargo
January 1, 2025 - November 21, 2025
Built and optimized end-to-end big data pipelines using HDFS, MapReduce, Hive, Spark, and Flume; implemented data ingestion and processing across Azure and Databricks; migrated on-premises data sources to Azure Data Factory and Snowflake; configured Spark Streaming to ingest data from Apache Kafka; designed scalable data models and delivered dashboards via Power BI and Tableau; collaborated on data governance, security, and HIPAA-compliant analytics.
Data Engineer at Nant Health
December 31, 2024 - December 31, 2024
Extracted and processed large volumes of healthcare data from HDFS; built pipelines to Azure Data Lake using Apache NiFi; validated and cleaned data with Python; transformed datasets with PySpark and loaded curated data into Azure Synapse Analytics for downstream reporting; orchestrated workflows with Apache Oozie and implemented Data Factory pipelines; led a team of three data engineers and delivered faster insights; developed Tableau dashboards and maintained HIPAA-compliant practices.
ETL Developer at Jarus Technologies
June 30, 2023 - June 30, 2023
Configured real-time data pipelines using Kafka for streaming data ingestion and Spark Streaming for processing. Loaded data from Web servers and Teradata using Sqoop, Flume, and Spark Streaming API. Developed MapReduce/Spark Python modules for machine learning and predictive analytics in Hadoop on AWS. Collaborated with a Data Modeler to develop STAR Schemas and reviewed ETL design documents. Implemented monitoring, documentation, and support processes.

Education

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Qualifications

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Industry Experience

Healthcare, Financial Services, Software & Internet, Professional Services, Other