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  • Ingolstadt, Germany

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ATHARNAWAZ/README.md

Ather Nawaz

Senior Data Engineer and Analytics Engineer based in Ingolstadt, Germany. Building data pipelines, GDPR-compliant analytics platforms, AI-powered data tooling, and modern lakehouse architectures.

6 years across data engineering, BI, and software development. Python, SQL, dbt, Snowflake, Databricks, Apache Iceberg. Occasionally arguing about star schemas.


Open to Work Location Experience


🛠 Tech Stack

Languages

Python SQL TypeScript

Data Engineering

PySpark Apache Kafka Apache Iceberg dbt DuckDB Airflow Databricks Delta Lake

Warehouses & Platforms

Snowflake BigQuery AWS Azure MotherDuck Amazon Redshift

BI & Visualization

Power BI Tableau Evidence

AI & ML

Claude AI LlamaIndex MLflow pgvector

Dev & Infra

Docker Terraform GitHub Actions FastAPI PostgreSQL


🎓 Certifications

Certification Issuer Status
Databricks Fundamentals Accreditation Databricks ✅ March 2026
Databricks Data Engineer Associate Databricks 🔄 In Progress
dbt Analytics Engineering Certification dbt Labs 🔄 In Progress
Snowflake SnowPro Core Snowflake 🔄 In Progress
AWS Data Engineer Associate AWS 🔜 Planned

🔨 Currently Building

Project Stack Status
Pipeline Doctor Python · FastAPI · Claude AI · LlamaIndex · AWS Lambda · React ✅ Done
DataLex Python · Claude AI · AWS Glue · Athena · Terraform · React 🔨 Building
Zero-Copy Analytics Lakehouse DuckDB · dbt · Apache Iceberg · MotherDuck · Evidence.dev ✅ Done
dbt Lineage Explorer NetworkX · React Flow · FastAPI · Claude AI ✅ Done
AE Interview Simulator React · TypeScript · Claude AI · Recharts ✅ Done
SQL Query Cost Analyzer FastAPI · React · TypeScript · Claude AI 🔄 In Progress

📊 Stats

Ather's GitHub Stats

Top Languages


🧠 What I Actually Do

  • Build and maintain ELT/ETL pipelines that move data from messy source systems into clean, tested, documented models using dbt and Python
  • Design star schema and medallion architecture data models that keep "revenue" meaning the same thing across every dashboard
  • Build AI-powered data tooling — pipeline debuggers, GDPR compliance checkers, cost monitors, observability layers
  • Handle GDPR/DSGVO compliance across data pipelines — PII classification, retention policies, audit trails
  • Deploy serverless data infrastructure on AWS using Terraform and GitHub Actions CI/CD
  • Recently obsessed with: DuckDB, Apache Iceberg, RAG pipelines for data engineering, and the idea that you shouldn't need a $50k/month warehouse to query a lot of data

📬 Find Me

LinkedIn Email Databricks Cert

Open to Data Engineer, Analytics Engineer, and Data Platform Engineer roles in Germany, Switzerland, and Austria (DACH). Remote or Ingolstadt/Munich area. EU passport. 3 months notice.

Pinned Loading

  1. zero-copy-lakehouse zero-copy-lakehouse Public

    Query petabytes on S3 for 87% less than Snowflake. DuckDB + Iceberg + dbt + MotherDuck.

    Python 1

  2. dbt-lineage-explorer dbt-lineage-explorer Public

    Interactive dbt Lineage Explorer — upload manifest.json, visualize DAG, column-level lineage, AI-powered impact analysis. Python FastAPI + React Flow.

    TypeScript 1

  3. sql-cost-analyzer sql-cost-analyzer Public

    Paste SQL, get execution plan, cost estimates and optimized query. FastAPI + React + Claude AI.

    TypeScript

  4. pipeline-doctor pipeline-doctor Public

    AI-powered dbt pipeline debugger — ask why your models failed in plain English

    Python 1

  5. analytics-engineer-simulator analytics-engineer-simulator Public

    Practice Analytics Engineer interview questions — SQL, dbt, Data Modeling, Python. AI feedback via Claude.

    TypeScript 1

  6. dbt-contracts dbt-contracts Public

    TypeScript 1