The world speaks in numbers, I translate their stories. οΈ Caffeine-powered data enthusiast, bridging the gap between data and decisions with every cup.
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π Iβm currently working in Infosys
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π± Iβm currently learning AWS || Airflow || AWS Glue || Kafka
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π¬ Ask me about Python|| MySQL || PostgreSQL || Spark || Apache Spark
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π« How to reach me iamashutosh.kumar.dev@gmail.com
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π Know about my experiences Ashutosh Kumar's Resume
Databricks Data Engineer / Team Lead | Infosys - Nuuday Denmark (2026 - Present)
- Led Databricks data engineering delivery for Nuuday and built Databricks Asset Bundles, reusable notebooks, and job workflows, reducing deployment effort by 70% and release errors by 60%.
- Developed multi-source ingestion pipelines from SQL databases, REST APIs, ServiceNow, Adobe, ACS, ICH, and other sources, improving onboarding speed for new sources by 80%.
- Integrated Azure Key Vault-backed secret management for database credentials, API tokens, and service connections, reducing credential maintenance effort by 70%.
- Migrated existing data pipelines into Databricks Lakeflow Designer, standardizing orchestration, lineage, monitoring, and handover while reducing manual operational checks by 75%.
- Designed Delta Lake pipelines using hybrid medallion and layered architecture, improving pipeline maintainability by 80% and reducing reprocessing time by 70%.
- Implemented data quality rules, audit checks, and exception handling across ingestion layers, increasing data validation coverage by 85%.
- Supported team-lead responsibilities across planning, code review, release coordination, and production issue resolution, improving SLA adherence by 70% across data and BI teams.
Big Data Engineer | Infosys (2022 - 2025)
- Built and maintained ETL pipelines for large datasets with a strong focus on accuracy, reliability, and data quality rates of 95% or higher.
- Improved Redshift data integrity by 80% through normalization, partitioning, and optimized SQL query strategies, reducing regional bottlenecks and improving performance.
- Created complex SQL validation scripts for Redshift and S3-based staging, reducing discrepancies by 70% and improving executive reporting accuracy.
- Enhanced production scripts using Python, Airflow, and Spark, improving processing efficiency by 80% for millions of records.
- Automated ETL health checks with Shell scripts on Linux, reducing manual intervention by 70% and improving SLA compliance by 60%.
- Partnered with BI teams on MSTR dashboard data delivery, reducing report refresh delays by 50% and improving data availability for business users.
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Awards:
- Digital Specialist Engineer - L1 at Infosys for consistent delivery of robust cloud data platforms.
- AI Builder Skill Tag at Infosys for expertise in AI and Data Engineering.
- Cloud Data Professional Skill Tag at Infosys for proven expertise in cloud-native data engineering.
- Insta Award - Certificate of Appreciation from Infosys Data Analytics leadership.
- Commendation Certificate - Insta Award at Infosys for rapid onboarding and strong ownership.
- Certified Data Engineer Professional - Databricks (2025)
- Certified Data Engineer - Associate Databricks (2025)
- Certified Developer - Associate AWS (2025)
- Certified Cloud Practitioner AWS (2025)



