Transform from Analyst to Analytics Engineer
A rigorous 12-week accelerator designed to bridge the gap between SQL reporting and production-grade data engineering.
Durgesh Yadav & Pragya Rathi
Data Engineers @ 7-Eleven
The Career Ceiling is Real
Most data analysts hit a wall. You know SQL and Excel, maybe some Power BI, but you aren't building systems . You are pulling data, not engineering pipelines. This keeps you stuck in the ₹5-8 LPA bracket, polishing dashboards while Engineers earn ₹15-25 LPA+ for building the infrastructure.
This accelerator is the bridge. Over 12 weeks and 72 hours of live instruction , we strip away the fluff and focus purely on the production stack used at companies like Target and 7-Eleven.
Program Deliverables
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Live, Interactive Instruction No pre-recorded static content. 24 sessions where you code along with us.
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Production-Grade Projects Build an e-commerce platform, a real-time streaming system, and an enterprise data architecture.
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Code Reviews & GitHub Portfolio We review your code. You leave with a green GitHub contribution graph.
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Career Support System Resume optimization, mock interviews, and 1:1 mentorship moments included.
Is this you right now?
Stuck in Excel/SQL loops?
You write queries, but don't know how to automate them into pipelines or optimize them for millions of rows.
Feeling technically behind?
Terms like Spark, Databricks, Medallion Architecture, and Kafka appear in job descriptions you want, but you haven't used them.
The Curriculum
4 Modules • 12 Weeks
Analytics Foundation
Master the complexities of SQL beyond simple selects. Build the data models that power businesses.
- 10 optimized SQL queries with EXPLAIN
- Executive Power BI Dashboard
- Complete e-commerce data model
Big Data Architecture
Move from single-server thinking to distributed computing. Handle 1M+ rows elegantly.
- Hadoop Infrastructure & HDFS
- PySpark Transformations
- Production Databricks Notebooks
Data Pipelines & Engineering
The core of the Analytics Engineer role. Building reliable, automated data flows.
- Complete Medallion Architecture
- Automated Databricks Workflows
- Real-time Kafka Streaming
AI Automation & Career Systems
Leverage AI to code faster and position yourself for high-paying roles.
- 50+ SQL queries using ChatGPT
- Job-ready Resume & Portfolio
- Mock Interview Preparation
Lead Instructors
Durgesh Yadav
Data Engineer @ 7-Eleven
Founder of Datacity EdTech and former Data Engineer at Target (Fortune 50). Has mentored 1,000+ working professionals and trained 50K+ students. Expert in building scalable data systems.
Pragya Rathi
Data Engineer @ 7-Eleven
Pragya Rathi is an accomplished Data Engineer and mentor with strong expertise in SQL, Excel, PySpark, and Python. She is passionate about teaching data analytics and engineering, helping students build solid foundations and industry-ready skills. Through her mentorship, many learners have successfully advanced and excelled in their data careers.
Who Should Enroll?
The Aspiring Engineer
Early-stage data engineers looking to gain production rigor and architectural depth.
The SQL Analyst
Analysts proficient in SQL/Excel who want to unlock engineering salaries and capabilities.
The Career Pivoter
Professionals targeting ₹8–15 LPA roles in product-based companies.
What Our Students Say
"If you want to work on industry-based real projects for a low cost and go from a novice to a pro, 'Durgesh Yadav' is the person for you. I have taken his 1:1 mentorship program... if everything goes well, I will secure a data analyst job by January 2025."
"Honestly, I don’t know what Durgesh Yadav was thinking while pricing this course. Power BI, SQL, Python, EDA, projects, interview prep — all stuffed into one super-cheap package. This is not a course, this is a full data analytics universe."
"It was a super informative and well-planned session. I am looking forward to more such motivation boosters and resourceful meetings with Durgesh Yadav. It was worth the time."