Sources
Processing
Delivered
Data & AI Engineer
Rakesh Goud
12+ years building lakehouse platforms and GenAI systems — across logistics, healthcare, and enterprise IT. Turku, Finland.
Professional journey
Where I've built
12+ years across enterprise logistics, healthcare, and IT consulting — senior data engineering roles at Posti, CitiusTech, Infosys, Mindtree, and Atos.
Apr 2024 — Present
Data Engineer · Posti Group Oyj
Helsinki, Finland
Leading development of Data Platform 2.0 — a Databricks Lakehouse on AWS across four environments. Built event-driven pipeline automation and SAP S/4HANA integration, cutting data latency 45% and infrastructure cost 20%.
Jan 2023 — Jul 2023
Senior Data Engineer · CitiusTech
Pune, India
Optimized PySpark and Spark-SQL applications across DB2, AWS, and Azure, unifying four disparate source systems into a single processing layer — 30% efficiency gain, 25% lower latency.
Jul 2021 — Oct 2022
Azure Data Engineer · Infosys
Pune, India
Delivered an end-to-end Azure PaaS data platform — Data Factory, Databricks, Azure SQL/DW — improving pipeline efficiency 30% and sustaining 99.9% data availability across 10+ source integrations.
Feb 2020 — Jul 2021
Data Engineer · Mindtree
Pune, India
Designed Azure SQL Data Warehouse and BI solutions, led Lift & Shift migrations to Azure, and built distributed pipelines and proof-of-concepts to support architecture decisions.
Dec 2014 — Feb 2020
Associate Consultant · Atos
Mumbai, India
Managed centralized MS SQL Server platforms with AlwaysOn, log shipping, and replication — sustaining 99.9% uptime with round-the-clock production support.
Technology
Tools I work with
The stack I've used to ship production data and AI systems — not just tools I've read about.
Data platforms
Languages & query
DevOps & infrastructure
Cloud & databases
Get in touch
Let's build
something together.
Open to senior data engineering roles, consulting engagements, and technical collaborations. My inbox is always open.
Turku, Finland · rakagoud89@gmail.com