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Sri Nitya Maddukuri

Senior Data Engineer - Python, SQL • United States • s**************@gmail.com • +12******430

Professional Summary

Senior Data Engineer with 5 years of experience specializing in Azure cloud data engineering, big data processing, ETL pipeline development, and distributed analytics using Python, PySpark, Databricks, and Azure Data Factory. Optimized Delta Lake and enterprise data pipelines, improving processing efficiency by 40%. Capable in building scalable cloud-native data platforms, real-time streaming solutions, and high-performance analytics architectures to support enterprise reporting, automation, and large-scale data processing.

Technical Skills

Programming Language: Python,SQL,Scala
Data Engineering & Processing: Apache Spark,PySpark,Hadoop,Hive,Azure Databrick,Apache Airflow,Data Lakehouse
Databases: Azure SQL Database,Delta Lake,Snowflake,Amazon Redshift,Azure Synapse Analytics
Cloud Platforms: Microsoft Azure,AWS,Azure Data Lake,ADLS Gen2,Amazon Kinesis
Data Integration & ETL: Azure Data Factory,dbt,Unity Catalog
Datawarehousing: OneLake
Messaging & Monitoring: Apache Kafka,Azure Event Hubs
DevOps & Infrastructure: Docker,Kubernetes,Terraform,Jenkins,Azure DevOps,GitHub Actions
Version Control: Git,GitHub

Work Experience

Central City Concern
Seattle, WA
Senior Data Engineer
Sep 2024 – Present
Mission-driven organization where the candidate architected cloud data platforms to centralize and scale enterprise analytics and reporting.
Tech Stack: Python, Azure Data Factory, Databricks, PySpark, Microsoft Fabric, Lakehouse, OneLake, Fabric Pipelines, Fabric Notebooks, Delta Lake, Power BI, Azure DevOps, GitHub Actions
  • Architected scalable cloud data platforms using Python, Azure Data Factory, Databricks, PySpark for high-volume structured and semi-structured data processing.
  • Designed Microsoft Fabric Lakehouse solutions leveraging OneLake, Fabric Pipelines, and Fabric Notebooks, accelerating enterprise analytics and centralized data integration operations.
  • Optimized Delta Lake pipelines with CDC, schema evolution, and incremental loading using PySpark, decreasing pipeline failures and improving processing efficiency by 40%.
  • Collaborated with analytics and engineering teams to deliver Power BI semantic models and executive dashboards, enhancing reporting performance and business intelligence delivery.
  • Automated CI/CD deployments and monitoring workflows using Azure DevOps, GitHub Actions, and Azure services, increasing deployment efficiency and reducing release turnaround time by 50%.
Deloitte
Atlanta, GA
Data Engineer
Jul 2021 – Sep 2024
Global consulting and professional-services firm; engineered cloud data solutions for enterprise clients to modernize analytics, streaming, and reporting.
Tech Stack: Python, Azure Data Factory, Databricks, ADLS Gen2, PySpark, Scala, Apache Spark, Power BI, Azure Event Hubs, CI/CD, Azure DevOps, Git
  • Orchestrated enterprise-scale data pipelines using Python, Azure Data Factory, Databricks, and ADLS Gen2, processing millions of records daily across business-critical systems.
  • Streamlined distributed data processing workflows using PySpark and Scala on Apache Spark, improving large-scale transformation and analytics performance across enterprise datasets.
  • Engineered reusable ADF ingestion frameworks to streamline repetitive onboarding processes, reducing new data source integration time by 50%.
  • Spearheaded delivery of Power BI semantic models and dashboards with analytics and engineering teams, improving reporting accuracy and data accessibility.
  • Deployed real-time streaming and CI/CD workflows using Azure Event Hubs, PySpark Structured Streaming, Azure DevOps, and Git, accelerating deployment cycles.

Education

Wilmington University
Master of Science in Computer and Information Systems Security • Delaware, USA • Jan 2020 – May 2021
Jawaharlal Nehru Technological University
Bachelor of Science in Electronics and Computer Engineering • India • Jul 2014 – May 2018

Certifications

Earned Microsoft Certified: Azure Data Engineer Associate.
Achieved Databricks Certified Data Engineer Professional.

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