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Harini Chitimely

@harinichitimely

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Azure Data Engineer specializing in scalable ETL/ELT pipelines on Microsoft Azure.

India

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What I'm looking for

I’m looking for a role where I can build and optimize Azure ETL/ELT pipelines, improve performance and cost efficiency, and own reliable data delivery through orchestration, monitoring, and automated data quality validation.

I’m an Azure Data Engineer with 11+ years of IT experience, including 3+ years specializing in Microsoft Azure data platforms. I design and build scalable ETL/ELT pipelines that turn raw data into high-performance, reliable analytics workloads.

At Helius Technologies Pte Ltd (Singapore), I developed Azure Data Factory and Azure Databricks pipelines that improved data processing efficiency by 25%. I’ve optimized Delta Lake storage and Spark cluster performance, reducing job execution time by 30%, and tuned complex SQL queries for up to 20% faster data retrieval.

I’m also experienced in end-to-end cloud migration and operational excellence—leading legacy pipeline migrations to Azure cloud architecture, improving scalability and reliability, and reducing infrastructure costs by 37%. My background spans PySpark, SQL, data modeling, and automated data quality validation to ensure timely, trustworthy data delivery.

Experience

Work history, roles, and key accomplishments

Data Engineer

Helius Technologies Pte Ltd

Apr 2022 - Apr 2024 (2 years)

Designed scalable ETL/ELT pipelines with Azure Data Factory and Azure Databricks, improving processing efficiency 25%. Optimized Delta Lake and Spark performance, cutting job execution time 30%, and migrated legacy pipelines to Azure, reducing infrastructure costs 37% while improving reliability.

Azure Data Factory Azure Databricks Pyspark Delta Lake SQL Query Optimization ETL ELT Data Pipelines Cloud Migration

Data Engineer

JP Infotech Technologies

Dec 2020 - Apr 2022 (1 year 4 months)

Improved Azure Databricks job performance 40% via advanced cluster configuration and data partitioning. Built end-to-end ingestion pipelines to Azure Data Lake and HDFS, added automated data quality validation (15% accuracy lift), and reduced SQL execution time up to 70%.

Azure Databricks Pyspark Data Lake HDFS Partitioning

Senior Software Engineer

Infosys

Nov 2015 - Nov 2018 (3 years)

Validated ETL pipeline accuracy by ensuring correct source-to-target data mappings and automated checks for historical and incremental loads. Built reusable QA frameworks and delivered detailed reporting to leadership.

Source To Target Mapping Historical Incremental Load Validation Data Quality Assurance Test Reporting Data Pipeline Testing Automation Testing

Senior Software Engineer

Century Link

Mar 2015 - Sep 2015 (6 months)

Performed sanity and regression database testing by translating business requirements into test scenarios. Developed automation scripts, prepared test data, and updated test scenarios and cases based on change requests and enhancements.

Sanity Testing Regression Testing Database Testing Test scenarios Scripting Test Case Maintenance

Software Engineer

HCL Technologies

Oct 2010 - Jan 2015 (4 years 3 months)

Worked as a manual and automation tester across publishing, healthcare, and telecom domains, writing Oracle SQL queries in Oracle SQL Developer to generate required outputs. Identified automation test scenarios, added objects in the Object Repository, designed UFT scripts using actions and function libraries, and executed BPT using ALM for application lifecycle management.

Oracle Developer UFT (Unified Functional Testing)Application Lifecycle Management Test Automation Action Function Libraries Regression Testing Test Case Updates