Manoj Kumar
Data Operations Engineer
MongoDB · Elasticsearch · GCP · ETL · Python
/about
Data operations engineer with a background in IT and industrial automation. Currently at Adapt.io, building the data infrastructure that powers a B2B intelligence platform serving 500K+ users and 250M+ contacts.
I specialise in end-to-end data pipelines — from web crawling and ETL to MongoDB operations, Elasticsearch search tuning, and API integration. My focus is on data reliability, enrichment accuracy, and production-scale workflows rather than pure software development.
Certified in Google Data Analytics and IT Support. Open to roles in data operations, technical ops, or database-focused engineering where tools, DBs, and process automation drive the work.
Outside work I enjoy photography — mostly street and landscape.
/experience
Data Operations Engineer · Intern
Adapt.io · Nov 2025 – Present
B2B intelligence platform — 500K+ users, 250M+ contacts
- Built and maintained crawler-based ETL pipelines for company and contact data enrichment at production scale.
- Handled MongoDB CRUD operations, schema mapping, and data quality checks across large-scale collections.
- Tuned Elasticsearch queries and index mappings to improve search relevance and retrieval performance.
- Led API migration workflows, integrating third-party data providers and mapping schemas to internal models.
- Implemented duplicate-detection logic to improve enrichment accuracy across the contact database.
- Worked across the full data lifecycle: ingestion, transformation, validation, and delivery.
Technician — Engineering Services
Flex · Oct 2020 – Feb 2022
Industrial manufacturing — IT & automation support
- Managed lifecycle data for up to 1 million parts in Oracle Agile PLM.
- Automated ECO validation flows using VBScript, reducing manual review time.
- Improved BOM data quality and process consistency across engineering change workflows.
- Supported IT infrastructure and industrial automation systems on the factory floor.
/projects
Selected work and skill areas:
- Company data crawler and enrichment pipeline at scale.
- Elasticsearch index + query optimisation for B2B search.
- API integration and schema migration tooling.
- Metadata extraction and process-automation scripts.
/github
Contribution map for @t-manojkumar