Harsha Vardhan Moturu
Data Engineer Azure Data Factory, Databricks, Pyspark, Synapse Analytics @Trinity Technolabs
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WORK HISTORY
Data Engineer Azure Data Factory, Databricks, Pyspark, Synapse Analytics @Trinity Technolabs
IN
Designed and built scalable data pipelines using Azure Data Factory and Databricks, integrating data from 22+ source systems into unified analytics platformsDeveloped data transformation workflows using PySpark and SQL, processing 11+ complex datasets for reporting and analytics use casesStructured Azure Data Lake Gen2 environments with bronze, silver, and gold layers, managing 19+ datasets for optimized access and lifecycle managementOrchestrated and optimized 17+ ADF pipelines, ensuring reliable batch processing and incremental data loadsImplemented data governance and metadata management practices across 24+ datasets, improving traceability and audit readinessPerformed end-to-end testing and validation of pipelines to ensure data accuracy, quality, and compliance with business requirements
EDUCATION
University of Hertfordshire
Master of Science - MS, Data Science
Gandhi Institute of Technology and Management (GITAM)
Bachelor of Technology - BTech, Computer Science
ABOUT HARSHA VARDHAN MOTURU
I am an Azure Data Engineer with 2+ years of experience building scalable data platforms and analytics solutions. I work with Azure tools like Data Factory, Databricks, and Synapse to design reliable data pipelines and deliver clean, usable data for reporting and decision-making.In my current role, I build and manage data pipelines that integrate data from 20+ source systems. I’ve improved processing speed by up to 40% and reduced manual ETL effort by 50% by automating workflows and using PySpark and SQL for large-scale data transformation.I also design data models and reporting layers that support business intelligence tools like Power BI. My focus is always on data quality, performance, and governance, including GDPR compliance and metadata management.Previously, I developed end-to-end ETL pipelines and dashboards used by multiple stakeholders for near real-time insights. I enjoy working with cross-functional teams and turning complex data into clear, actionable outcomes.I am currently open to opportunities in Data Engineering and Azure-based analytics roles in the UK.Feel free to connect or reach out at: h••••••••@gmail.comSkills: Azure Data Factory, Databricks, Synapse Analytics, Azure SQL, Data Lake Gen2, PySpark, Python, SQL, ETL Pipelines, Data Modeling, Power BI, DAX, Data Warehousing, Delta Lake, Data Governance, MDM, CI/CD, Azure DevOps
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