Break Into Data Engineering
Structured learning paths for transitions from analytics, BI, and software roles.
RoadmapsSkillsInterview prep
Workshops and Events
Practical sessions for modern data engineers and architects
Join implementation-first workshops across Azure, Databricks, streaming systems, and architecture. Each event is designed to be immediately useful in real projects.
Tracks
Program Themes
A balanced mix of career guidance, architecture depth, and production engineering practices.
Azure and Databricks Architecture
Platform sessions on lakehouse design, medallion patterns, governance, and performance.
LakehouseQualityCost and scale
Streaming Systems in Production
Hands-on design guidance for event-driven pipelines and resilient real-time operations.
Kafka and Event HubsReliabilityObservability
Events
Upcoming Workshops & Meetups
Practical and architecture-focused sessions for professionals transitioning into modern Data Engineering.
registration open
BREAK INTO DATA ENGINEERING
From cloud fundamentals to Azure and Databricks, this workshop introduces a practical roadmap for aspiring data engineers.
- Date:
- [YYYY-MM-DD]
- Time:
- [HH:MM] (Asia/Kolkata)
- Location:
- [LOCATION]
- Format:
- Online
Cloud FundamentalsAzureDatabricksCareer Transition
upcoming
Lakehouse Architecture with Azure & Databricks
A deep-dive session on designing secure and scalable lakehouse architectures.
- Date:
- [YYYY-MM-DD]
- Time:
- [HH:MM] (Asia/Kolkata)
- Location:
- [LOCATION]
- Format:
- Hybrid
LakehouseDelta LakeGovernanceArchitecture
Past Sessions
Past Workshops & Sessions
Only provided links are shown. Add photos, presentations, recordings, and blogs in content/events.ts.
completed
Streaming Data Patterns for Modern Platforms
Past session on event-driven data engineering with Kafka, Event Hubs, and Structured Streaming.
- Date:
- [YYYY-MM-DD]
- Time:
- [HH:MM] (Asia/Kolkata)
- Location:
- [LOCATION]
- Format:
- In-person
KafkaEvent HubsStructured Streaming
Moments
Community Gallery
Highlights from recent sessions and community interactions.
Streaming Data Patterns for Modern Platforms Gallery
View session details
