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Kajendiran Selvakumar

@kajendiranselvakumar

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Aspiring Data Engineer with expertise in automated data pipelines.

India

Message

What I'm looking for

I am looking for a role that offers growth opportunities, a collaborative culture, and challenges that allow me to leverage my skills in data engineering.

I am an aspiring Data Engineer with a year of software engineering experience, focused on building automated data pipelines and cloud-based validation tools. My journey began at Anna University, where I pursued a Bachelor of Engineering in Computer Science, equipping me with a solid foundation in programming and data management.

Currently, I work at LightCast, where I have successfully contributed to significant projects such as the MongoDB to ElasticSearch migration. This involved modifying Python scripts for data ingestion and ensuring compatibility between data schemas. I also built automated ETL pipelines using AWS S3 and the Google Geocoding API, enhancing data quality and consistency. My technical skills include Python, AWS, and data processing tools like PySpark and Airflow, which I leverage to optimize performance and streamline processes.

I am passionate about using technology to solve complex data challenges and continuously seek opportunities to grow and learn in the field of data engineering. My goal is to contribute to innovative projects that harness the power of data to drive business success.

Experience

Work history, roles, and key accomplishments

Current

Software Engineer

Current

LightCast

Jul 2024 - Present (1 year)

Contributed to the migration of an existing data ingestion pipeline, modifying Python scripts that previously loaded CSV data into MongoDB to now ingest data into Elasticsearch instead. Updated data transformation logic and integrated Elasticsearch bulk indexing APIs to support efficient and scalable ingestion of structured CSV data.

Python Elasticsearch MongoDB Data Migration

Current

Software Engineer

Current

LightCast

Jul 2024 - Present (1 year)

Built automated ETL pipelines to extract, transform, and reload Parquet files from AWS S3, ensuring data quality via Google Geocoding API. Parsed address fields to verify accuracy of corresponding lat/lon coordinates, ensuring data quality and consistency.

Python AWS S3 ETL Parquet Data Quality Batch API Calls

Current

Software Engineer

Current

LightCast

Jul 2024 - Present (1 year)

Automated QA test report validation using Python, improving detection of test failures across formats including Excel, HTML, and TXT. Designed custom parsers for each report type to extract test outcomes and validate completion status with high accuracy.

Python QA Automation Excel HTML