---
title: "Harshith Kumar K - Data Engineer III in Germany | Tal"
description: "Meet Harshith Kumar K, Senior Data Engineer | Databricks, PySpark, Delta Lake, Kafka, dbt, Airflow | AWS Data Engineer + Solutions Architect Certified | Relocating to EU — Blue Card Eligible based in Germany. AI stack includes antigravity and codex. Explore public work links including github."
image: "https://tal.club/meet/harshith-kumar-k/share-image"
---

# Harshith Kumar K on Tal

## Headline

Senior Data Engineer \| Databricks, PySpark, Delta Lake, Kafka, dbt, Airflow \| AWS Data Engineer \+ Solutions Architect Certified \| Relocating to EU — Blue Card Eligible

## About

Senior Data Engineer with over 5 years of experience building enterprise\-grade lakehouse platforms and cloud data infrastructure — currently at Thermo Fisher Scientific \(Life Sciences & Pharma\), previously at TEKsystems \(Fortune 500 Travel\) and Labcorp \(Clinical Trials\)\. Triple certified: Databricks Certified Data Engineer Associate · AWS Certified Data Engineer · AWS Certified Solutions Architect\. ━━━ What I Build ━━━ I design and deliver production data platforms that organisations trust for compliance, scale, and speed — not just pipelines that run\. ━━━ Key Deliverables ━━━ ▸ 100\+ TB cloud migration \(Hadoop/Teradata → Apache Iceberg on AWS\) — 50% query latency reduction ▸ ELT pipelines processing 1–2 TB daily across 600\+ tables in HIPAA/GDPR\-regulated environments ▸ 99\.8% ingestion accuracy via PySpark data quality framework with 150\+ validation rules ▸ 300\+ hours/month saved through automated clinical data workflows ▸ LLM\-powered automation eliminating 120 person\-hours/month across 5 business teams ▸ Zero compliance findings across every external audit at two regulated companies ━━━ Core Stack ━━━ PySpark · Databricks · Apache Iceberg · Delta Lake · dbt · Apache Airflow · AWS \(Glue, EMR, S3, Redshift, Athena\) · Unity Catalog · Terraform · GitHub Actions ━━━ Certifications ━━━ Databricks Certified Data Engineer Associate \(May 2026\) · AWS Certified Data Engineer \(Aug 2024\) · AWS Certified Solutions Architect \(Feb 2025\) ━━━ Open to Opportunities in Europe ━━━ Actively seeking Senior / Lead Data Engineer roles in Germany, Netherlands, Sweden, Finland, Denmark, Ireland, Spain, or Estonia\. EU Blue Card eligible\. Available for employer\-supported relocation\.

## Location

Germany

## AI stack

antigravity

codex

## Work experience

Data Engineer III at Thermo Fisher Scientific, Nov 2025 \- Present · 10 mos, Bengaluru, Karnataka, India, • Building and owning production\-grade data pipelines and lakehouse infrastructure on Databricks and AWS for 3 regulated business units \(Life Sciences, Diagnostics, Pharma\)\. • Scaled a governed data platform serving 600\+ tables across regulated environments, with full Unity Catalog lineage and zero HIPAA/GDPR compliance findings • Built ELT pipelines processing 1–2 TB daily; optimised Spark jobs to cut compute costs by 30% and improve throughput by 25% • Delivered data quality contracts across 20\+ TB of clinical data, ensuring full audit readiness at every pipeline stage • Cut manual reporting effort by 40% \(\~120 person\-hours/month\) through OpenAI\-powered workflow automation • Reduced ad\-hoc data requests by 35% by defining data contracts and SLAs with three crossfunctional business teams

Senior Data Engineer at TEKsystems Global Services in India, Oct 2024 \- Nov 2025 · 1 yr 2 mos, Bengaluru, Karnataka, India, Led large\-scale data engineering for a Fortune 500 travel platform, migrating 100\+ TB from Hadoop and Teradata to a cloud lakehouse on AWS\. • Migrated 100\+ TB of travel data \(flights, hotels, cars, cruises\) to AWS using Apache Iceberg — enabling ACID transactions, schema evolution, and time\-travel queries at scale • Cut Athena query latency by 50% through partition redesign and Iceberg compaction strategies • Built Bronze/Silver/Gold medallion pipelines with CDC and SCD Type\-2 across 12\+ source systems • Developed a PySpark data quality framework with 150\+ validation rules — achieving 99\.8% ingestion accuracy • Reduced deployment cycle time by 65% using Terraform and GitHub Actions CI/CD; maintained 99%\+ SLA adherence via Airflow

Data Analytics Associate at Labcorp Drug Development, Feb 2021 \- Sep 2024 · 3 yrs 8 mos, Bengaluru, Karnataka, India, Built and maintained the core data engineering infrastructure for clinical trial analytics across 20\+ source systems in a HIPAA/GDPR\-regulated environment\. • Built HIPAA/GDPR\-compliant ETL/ELT pipelines on AWS Glue and EMR, ingesting clinical trial data at scale from 20\+ source systems • Delivered a clinical data warehouse and metadata catalog that cut audit preparation effort by 300\+ hours per month • Built an NLP pipeline in PySpark to process 10,000\+ monthly clinical consent forms at 98% accuracy • Reduced manual validation effort by 60% through automated schema drift detection; passed 3 external regulatory audits with zero findings

## Education

Master of Computer Applications \- MCA, Computer Programming, Specific Applications, RV College of Engineering

BCA \- Bachelor of Computer Application, Computer Programming, Yuvaraja's College, Mysuru

## Public links

- github: https://github\.com/data\-factor

[View the original profile](https://tal.club/meet/harshith-kumar-k)

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