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Berlin · Data Engineering

Data systems built for the work after launch.

I am Saurabh Shubham, a Data Engineer in Berlin. Across GROPYUS, Sigmoid, and Amdocs, I have worked on production data flows, ETL pipelines, and backend integrations using Python, orchestration tools, and cloud platforms.

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Current role
Data Engineer
Location
Berlin, Germany
Experience
7+ years
Focus
Data platforms

01 / Profile

Reliable data work is software work.

My background spans manufacturing data, commercial reporting pipelines, and backend integration. I work from source and orchestration through delivery, with system boundaries and maintainability kept visible.

This portfolio stays deliberately evidence-led. It describes contribution and tools where source material supports them, and leaves private architecture, client names, unsupported scale, and invented metrics out.

02 / Selected work

Two systems, clear boundaries.

Professional experience · GROPYUS

Manufacturing data flows

Problem
Production insight depends on data moving reliably between robotic systems and enterprise platforms.
Contribution
Designed and optimised pipelines and data flows using Python, Dagster, Airflow, dbt, DLT, and Microsoft Azure.
Boundary
Internal topology, production data, and unsupported performance metrics remain private.

Professional experience · Sigmoid

Commercial reporting pipelines

Problem
Commercial reporting required repeatable ETL processing across sales datasets.
Contribution
Built and maintained pipelines using Python, PySpark, Airflow, Pandas, Terraform, Google Cloud, and AWS.
Boundary
Client identity, dataset scale, and business-impact metrics are intentionally omitted.

03 / Experience

From backend integration to data platforms.

  1. 2022—Now

    GROPYUS

    Data Engineer · Berlin

    Manufacturing data pipelines and orchestration across Python, Dagster, Airflow, dbt, DLT, and Azure.

  2. 2021—2022

    Sigmoid

    Software Development Engineer · Bengaluru

    ETL pipelines for commercial reporting with Python, PySpark, Airflow, Terraform, Google Cloud, and AWS.

  3. 2019—2021

    Amdocs

    Software Engineer · Pune

    CRM feature delivery and backend integration using Java, Spring, REST APIs, and SOAP APIs.

04 / Toolkit

Tools in working context.

Build

Python · SQL · Java · JavaScript

Move and model

Airflow · Dagster · dbt · DLT · PySpark · Pandas

Run

Microsoft Azure · Google Cloud · AWS · Terraform · Git · Unix

Store and connect

PostgreSQL · MySQL · MongoDB · REST · SOAP

05 / Public archive

Earlier hands-on projects.

My public GitHub includes historical JavaScript and Node.js work such as give-me-a-joke and Image-Crawler. These are archived learning projects—not current Data Engineering case studies or production claims.

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Open to relevant conversations

Senior Data Engineering and data-platform work.

Berlin, Germany · relevant European remote markets

saurabh.friday@gmail.com LinkedIn