Dhineshkumar M

Data Engineer with 3 years of experience developing and maintaining ETL pipelines, data processing workflows, backend services, and data integration solutions. Hands-on experience with Apache NiFi, Kafka, Python, SQL, PostgreSQL, OpenSearch, and REST APIs. Skilled in data extraction, transformation, validation, workflow automation, asynchronous processing, SQL optimization, production support, root-cause analysis, and Agile SDLC.

Experienced in integrating enterprise platforms through REST connectors and webhooks.

Software Engineer at ILink Digital (2023-08 – Present)

Project: BEAK — an IT infrastructure management platform automating workflows and improving operational efficiency across IT operations, monitoring, and ticket handling.

• Developed and maintained ETL data pipelines and integrity checks using Apache NiFi and Kafka to extract, transform, and load data across distributed systems.
• Built scalable, asynchronous backend microservices and RESTful APIs using Python and Fast API for enterprise applications and automation workflows.
• Engineered high-concurrency API endpoints and asynchronous data pipelines for efficient large-scale data processing.
• Designed RESTful API endpoints for data retrieval, extraction, and processing with strict payload validation and JSON/REST standards.
• Architected data access layers connecting Python backends to PostgreSQL and OpenSearch, writing optimized SQL for data warehousing and reporting.
• Integrated third-party platforms (Zoho Desk, Zendesk, Atlassian Jira) into backend ETL and automation workflows using custom webhooks and REST connectors.
• Optimized SQL queries, database indexing, and backend logic to improve data pipeline throughput and performance.
• Monitored ETL workflows, backend service health, and API latency using Open Lens to ensure high availability and reliable data processing.
• Provided production support for live backend and ETL systems — triaging incidents, performing root-cause analysis (RCA), and resolving critical issues to minimize downtime.
• Conducted unit testing, test-case authoring, and QA validation to ensure ETL data accuracy and backend stability.
• Contributed to peer code reviews, Open API documentation, and knowledge-sharing to enforce Python, Fast API, and ETL best practices.
• Collaborated with cross-functional Agile teams across the full SDLC using Azure DevOps for on-time, high-quality delivery.

Bachelor of Engineering in Electronics and Communication Engineering – Karpagam College of Engineering (2023)