Data Engineering Capability
Build in-house teams that can design, build and run reliable data pipelines and platforms.
The case for structured data engineering capability training
Faster delivery
Teams that share common practices ship pipelines and reports faster, with fewer handoffs.
Fewer incidents
Engineering discipline reduces broken jobs and bad data reaching stakeholders.
Retention & growth
Clear learning paths help you grow talent from within.
Programmes in this area
Data Engineering Foundations
Pipelines, warehouses, lakes and the modern data stack explained hands-on, from first principles to a working end-to-end pipeline.
Apache Spark & PySpark for Data Engineers
Distributed processing with DataFrames, Spark SQL, partitioning, joins and performance tuning on realistic datasets.
Databricks & Lakehouse Engineering
Delta Lake, medallion architecture, workflows, Unity Catalog concepts and production-grade lakehouse patterns.
Workflow Orchestration with Apache Airflow
DAG design, scheduling, retries, sensors, testing and running reliable pipelines in production.
Real-Time Data with Kafka & Streaming
Event streaming fundamentals, producers/consumers, topics, schema handling and stream processing patterns.
Upcoming batches
| Programme | Starts | Mode | Schedule | Duration | |
|---|---|---|---|---|---|
| Databricks & Lakehouse Engineering | Mon, 30 Nov 2026 | Online live | Weekday | 4 days | Enquire |
| Data Engineering Foundations | Mon, 14 Dec 2026 | Bengaluru classroom | Weekday | 5 days | Enquire |
| Workflow Orchestration with Apache Airflow | Sat, 19 Dec 2026 | Online live | Weekend (Sat) | 4 Saturdays | Enquire |
| Apache Spark & PySpark for Data Engineers | Sat, 09 Jan 2027 | Online live | Weekend (Sat) | 5 Saturdays | Enquire |
| Real-Time Data with Kafka & Streaming | Wed, 13 Jan 2027 | Bengaluru classroom | Weekday | 3 days | Enquire |
| Databricks & Lakehouse Engineering | Sat, 30 Jan 2027 | Online live | Weekend (Sat) | 5 Saturdays | Enquire |
Organisations we have trained
Plan your programme
Frequently asked questions
Can the curriculum be customised to our tech stack?
Yes. Every corporate engagement starts with a needs assessment, and modules, labs and capstones are mapped to the tools and cloud your teams actually use.
What delivery formats do you offer?
Live virtual instructor-led training, on-site training at your office in Bengaluru or other Indian cities, and blended formats.
Who delivers the sessions?
Sessions are led by founder Karthick Selvam, a data engineering corporate trainer, and by vetted practitioner trainers from our freelance trainer network.
How do you measure outcomes?
We agree on success measures upfront, typically pre/post assessments, lab completion and capstone evaluation, and share a report with your L&D team.