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4 scoped briefs

2 mini · 2 major

Data Engineering

The unglamorous layer everything else stands on. We build pipelines with idempotent jobs, schema contracts, data-quality tests, and backfills that do not corrupt history — the things that separate a data engineer from someone who wrote a script.

PythonApache AirflowKafkaSparkSnowflakeClickHousePostgres
Start a projectDiscuss a custom brief

The standard

Build the system. Understand every trade-off.

Every brief ends with working software, documented decisions, and evidence you can present—not a folder of code you cannot explain.

Two audiences, one engineering standard

Academic depth meets production discipline.

For students

Pick a brief below, or bring the problem statement your department handed you. We architect it with you, review every commit, deploy it to a real URL, and rehearse the viva until no question surprises you.

See student support

For companies

ETL and ELT pipelines, streaming ingestion, orchestration and freshness guarantees, physical warehouse loading, and rescuing pipelines that break every week — this is the layer that gets the data there on time and uncorrupted; what the numbers mean once it lands belongs to Data Analytics & BI.

Discuss a company build

Mini projects

Focused scope. Real engineering.

Three to four weeks. Narrow enough to finish, deep enough that you learn the decision that actually matters.

2 briefs
Mini project3–4 weeks

Batch ETL Pipeline with Data Quality Gates

Ingest, transform, and load on a schedule — with tests that halt the pipeline instead of publishing bad data.

AirflowSQLPostgres

You walk away with

  • Idempotent, re-runnable DAG
  • Data-quality tests as a blocking gate
  • Backfill strategy that preserves history
  • Lineage diagram
Mini project4 weeks

Real-Time Analytics Dashboard

Stream events through Kafka into a columnar store and serve sub-second dashboards over live data.

KafkaClickHouseReact

You walk away with

  • Event schema with a compatibility contract
  • Exactly-once-ish consumer semantics
  • Sub-second aggregate queries
  • Live dashboard demo

Major projects

Capstones you can defend.

Ten to twelve weeks. Architecture, trade-offs, failure modes, deployment, and evidence—the project that carries an interview.

2 briefs
Major project12 weeks

Lakehouse Platform

A full medallion architecture — raw, cleaned, and business layers — with orchestration, cataloguing, and cost controls.

SparkDelta LakeAirflowS3

You walk away with

  • Bronze / silver / gold layering
  • Schema evolution handling
  • Partitioning and compaction strategy
  • Cost-per-query analysis
  • Data catalogue + ownership model
Major project10 weeks

Change-Data-Capture Sync

Mirror a production database into a warehouse in near real time without touching the source's performance.

DebeziumKafkaSnowflakeAirflow

You walk away with

  • CDC connector with a snapshot + stream phase
  • Out-of-order and late-arrival handling
  • Replication-lag monitoring
  • Failure-recovery runbook

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Other engineering domains

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Python Full-StackJava & EnterpriseAI & LLM ApplicationsMachine LearningDeep LearningMobile AppsCloud & DevOpsCybersecurityIoT & EmbeddedJavaScript Full-StackVLSI & Chip DesignPower Electronics, EV & Energy SystemsSignal Processing & Wireless CommunicationsRobotics, Drones & Autonomous SystemsData Analytics & Business IntelligenceTest Automation & SDETComputer Networks & Protocol Simulation
Your next build starts here

Turn the idea into software people trust.

Bring us a product brief, a business problem, or a final-year project. We’ll turn it into a clear scope, a working build, and a handover you fully own.

Start Your ProjectSend your brief

Prefer email? info@tenzok.in

Tenzok

A product engineering studio for ambitious companies, founders, and students who want real, production-minded work.

info@tenzok.in

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