₹99data engineer · Core Skillintermediate · ~8 Hours

Streaming Mini-Lab

Simulate an event stream (Kafka-style log or socket feed), apply windowed aggregations with watermarks for late data, and serve a Bronze/Silver/Gold mini-lakehouse with exactly-once-ish dedup semantics.

DatabaseCloud Data Store

ToolchainVS Code + SQLTools

Milestones4 Guided Stages

Recruiter OutputVerified GitHub Repo

View 4 Milestones

Full project workspace, live database credentials, AI mentor & verified certificate

Project Deliverables

What You Will Ship to GitHub

Hiring managers don't want to see another cookie-cutter Titanic or Iris tutorial. You will build a professional repository with modular scripts and executive business memos that demonstrate commercial analytical maturity.

github.com/your-username/de-streaming-mini-labPortfolio Structure

├── sql/

01_exploratory_profiling.sql // Schema audits, table volume, date ranges

02_revenue_trends.sql // Monthly GMV, order volume & AOV evolution

03_customer_concentration.sql // Pareto 80/20 distribution, repeat buyer cohorts

├── findings/

00_executive_summary.md // 3 core business takeaways for executive stakeholders

01_business_health.md // Detailed breakdown of margins, cancellations, and seasonality

03_customer_segments.md // Customer lifetime spend & cohort concentration

├── README.md // Professional project front-door with data schema diagram

Outcomes

What You Will Master

Produce + consume an append-only event log

Apply tumbling-window aggregations with watermarks

Handle late/out-of-order events explicitly

Serve Bronze/Silver/Gold layers with deduped keys

Curriculum

4 Guided Project Milestones

Step-by-step guidance & rubric checks

Event feed + Bronze landing

Simulated stream lands append-only Bronze with event time.

~30 mins

Silver dedup + watermarks

Deduped Silver with watermark policy for late data.

~90 mins

Gold windowed aggregates

Core Milestone

Tumbling-window Gold marts over event time.

~90 mins

Ops note + README + demo

Failure drill, ops note, portfolio README, recorded demo.

~60 mins

Career Value

ATS Keywords & Resume Ready Bullets

Tools

Pythonpandas / PySpark (local)ParquetGit/GitHub

Methods

Common Table Expressions (CTEs)Window FunctionsTime-Bucket AggregationsCohort AnalysisData Profiling & Auditing

Business Concepts

AOV (Average Order Value)Customer ConcentrationRepeat Purchase BehaviorCohort RetentionRevenue Health Metrics

Pre-Written Resume Bullet (Copy & Paste)

"Authored an end-to-end data analytics project on Streaming Mini-Lab utilizing Python, pandas / PySpark (local), Parquet — delivered production-grade queries, cohort distributions, and an executive stakeholder summary published as a portfolio GitHub repository."

Preparation

Reading & References

Streaming mini-lab brief

setup guide · Premium Access

Streaming starter: producer + consumer skeleton

article · Premium Access

Streaming mini-lab rubric

markdown · Premium Access

Ready to build and ship Streaming Mini-Lab?

Instant access to cloud database credentials, milestones, and starter queries.

Project Overview

Free Streaming Mini-Lab portfolio project — with AI review

Build a real streaming mini-lab project for your data analyst portfolio in your own public GitHub repo — free brief, starter template, and milestone guides. When your code is ready, the ₹99 pass gets every milestone reviewed against a fixed rubric (de streaming mini lab walkthrough included) and issues a verifiable certificate on completion.

Is the Streaming Mini-Lab project free?

The full project brief, milestone guides, and starter template are free to audit. The AI-powered review pass and verified certificate unlock at ₹99.

Can I add the Streaming Mini-Lab project to my resume and GitHub?

Yes — that is the point. You build in your own public GitHub repo, every milestone is reviewed against a fixed rubric, and the certificate links to the repo employers can inspect. Only list what is visible in your repo.

How long does the Streaming Mini-Lab project take?

Most students finish the 4 milestones in 2–4 weekends. Milestones unlock in order, and you can re-submit any milestone that needs work.

Rubric-reviewed · Plagiarism-checked · Verifiable certificate

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