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Bhargavi Dodda

@bhargavidodda

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Data Engineer with 4+ years building Azure lakehouse pipelines, specializing in ADF, Databricks, and PySpark.

Zimbabwe

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What I'm looking for

I’m looking for a data engineering role where I can build and harden Azure lakehouse pipelines, own ingestion-to-transform-to-delivery, and deliver dependable production support using metadata-driven ETL, Delta Lake, and strong monitoring.

I’m a Data Engineer with 4+ years of experience building and operating enterprise data platforms, with a strong focus on Azure Data Factory, Databricks, PySpark, and lakehouse architectures.

In production, I handle end-to-end data ingestion and transformation—incrementally ingesting from sources like SFTP and REST APIs into ADLS Gen2 with Azure Data Factory, then using PySpark in Azure Databricks to implement medallion-style (Bronze/Silver/Gold) processing and reliable Delta Lake storage with ACID transactions.

I’m especially proud of my production support and reliability work: I monitor pipelines, run validations, troubleshoot failures, execute ad-hoc loads, and improve processing using metadata-driven pipelines and Delta Lake merge operations (transaction_id). At Accenture, I also provided L2 production support and helped reduce ticket volume by ~70% while mentoring new team members.

Experience

Work history, roles, and key accomplishments

Current

Data Engineering Analyst

Current

BVC Engineering College

Feb 2024 - Present (2 years 4 months)

Ingested data incrementally from sources via SFTP and REST APIs using Azure Data Factory, loading raw datasets into ADLS Gen2. Built PySpark transformations in Azure Databricks using Medallion (Bronze/Silver/Gold) and supported production pipelines with validations and troubleshooting, including metadata-driven incremental processing with Delta Lake merge operations.

Azure Data Factory Azure Databricks Pyspark Azure ADLS Gen2 Delta Lake Lakehouse Architecture Medallion Architecture Data Ingestion Production Data Monitoring

Data Engineering Associate

Accenture

Oct 2021 - Jan 2024 (2 years 3 months)

Enhanced and supported enterprise ETL workflows by gathering requirements through ServiceNow tickets and performing impact analysis, using Azure services and integration tooling. Provided L2 production support by resolving P2–P4 incidents, reducing ticket volume by ~70%, and mentoring new team members through knowledge transfer.