Data & AI Engineer · Available in Germany

Vikas
Ramaswamy

Building production data pipelines and AI applications that run in the real world from SAP-connected supply chains to GitHub Apps with live external users.

dbt · Airflow · DuckDB LangGraph · RAG · FastAPI M.Eng. BI & Data Analytics · 1.91 Munich, Germany
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5+
Years experience
8
Projects built
3
Live deployments
1.91
Master's grade

About me

Data engineer.
AI builder.

I'm a Data and AI Engineer with experience across India and Germany, specialising in building production-grade data infrastructure and shipping real AI applications.

My career spans Capgemini (ETL pipelines across hybrid cloud), Mercedes-Benz (Power BI analytics for the Data Ecosystem team), and Mutares SE & Co. KGaA (end-to-end dbt medallion architectures for post-merger portfolio companies).

I hold an M.Eng. in Business Intelligence & Data Analytics from Hochschule Emden-Leer, graduating with an overall grade of 1.91 and a thesis graded 1.30 (sehr gut). I'm available immediately for full-time roles in Germany.

50%
Reduction in data transformation time at Mutares
40%
Reduction in manual reporting effort
98.5%
SLA adherence over 3 years at Capgemini
60%+
Reduction in analytical query latency

What I work with

Full-stack data & AI

Strong across the full spectrum — from warehouse design and pipeline orchestration to LLM agents with vector memory and production-grade REST APIs.

  • Data Engineeringdbt · Airflow · DuckDB · Parquet · Spark · Postgres · SAP pipelines
  • AI & LLM EngineeringLangGraph · LangChain · RAG · pgvector · Groq · Azure OpenAI
  • Analytics & BIPower BI · Streamlit · Plotly · Tableau · Python analytics
  • Backend & DeploymentFastAPI · React · Docker · GitHub Actions · Vercel · Railway

Quick facts

Availability

Immediately

Location

Munich, Germany

Languages

English C1 · German A2

Certification

Oracle OCI AI 2025

Technical expertise

Skills & tools

Data Engineering
Pipeline, transformation & warehouse
PythonSQL (Advanced) dbtApache Airflow DuckDBApache Spark PostgreSQLParquet / PyArrow SAP MM/SD/WMKafka
AI & LLM Stack
Agents, retrieval & inference
LangGraphLangChain RAGpgvector FAISSHuggingFace Groq APIAzure OpenAI PyTorchTensorFlow / Lite
Cloud & Platforms
Infrastructure & BI tools
Azure Data FactoryMicrosoft Fabric Power BIDatabricks SAP HANASupabase VercelRailway Neo4j
Frameworks & Dev
Backend, frontend & operations
FastAPIReact (Vite) StreamlitFlask Tailwind CSSGit DockerGitHub Actions GitHub Apps (JWT)Agile / Scrum

Career

Work experience

Jul 2024 – Aug 2025

Analytics Engineer (Working Student)

Mutares SE & Co. KGaA  ·  Munich, Germany

  • Built end-to-end data pipelines across 5+ post-merger portfolio companies, unifying heterogeneous source systems into dbt medallion layers.
  • Automated JSON processing, cutting transformation time by 50%, and reduced manual reporting effort by 40%.
  • Implemented Git-versioned dbt transformations with 28 automated data quality tests, eliminating reconciliation errors across 5+ reporting streams.
  • Deployed a FastAPI + LLaMA 3.3 70B AI advisor (live context from gold-layer tables) and a React dashboard with 8 pages of supply chain metrics.

Oct 2023 – Mar 2024

Business Analyst (Intern)

Mercedes-Benz Group AG  ·  Stuttgart, Germany

  • Built Power BI dashboards and SQL datasets for the Data Ecosystem team, providing direct visibility into Azure Cloud infrastructure cost allocation and enabling a 15% reduction in identified wasted spend.
  • Standardised KPI frameworks for the Platform Service Desk and product teams, accelerating decision cycles by 25%.
  • Used Atlassian Suite (Confluence, Jira), Power BI, and Databricks to analyse and present platform usage data to multiple stakeholders.

Sep 2019 – Aug 2022

Sr Analyst / Software Engineer

Capgemini Technology Services India  ·  Bengaluru, India

  • Maintained production ETL pipelines with CI/CD practices across hybrid cloud architectures, achieving 98.5% SLA adherence over 3 years.
  • Partnered with data scientists to deliver demand forecasting models that improved forecast accuracy by 40%, and engineered executive KPI frameworks that cut manual reporting dependencies by 65%.
  • Engineered an end-to-end live pipeline from ERP to live dashboards via SAP BW, SAP SLT, and Kafka, reducing latency by over 50%.
  • Designed OLAP query optimisations that cut analytical query latency by 60%+ across Power BI dashboards used by executive leadership.

Portfolio

Projects

All on GitHub →
Data Engineering · AI Live

SupplyIQ: A Supply Chain Analytics Platform

Production-grade end-to-end pipeline simulating SAP MM/SD/WM operations. Airflow orchestration, 16-model dbt medallion on DuckDB, FastAPI backend with 14 endpoints, React dashboard (8 pages), and a Groq-powered AI advisor grounded in live gold-layer data.

dbtAirflowDuckDB LangGraphLLaMA 3.3 FastAPIReact
Live Demo GitHub API Docs
AI · GitHub App Live

PR Review Bot for Automated Code Reviews

GitHub App that reviews every Pull Request using 3 parallel LangGraph AI agents (code quality, security, performance). Features @mention multi-turn chat, per-repo review memory via Supabase pgvector, and zero-configuration onboarding. Running at $0/month on free tiers.

LangGraphLLaMA 3.3RAG FastAPISupabasepgvector
Install App GitHub
Machine Learning · Analytics Live

Stock Analyzer & Investment Predictor

Real-time stock analysis combining Random Forest ML, technical indicators (RSI, MACD, moving averages), and dual sentiment analysis into a 9-point scoring system. Produces STRONG BUY / SELL recommendations with live data from Yahoo Finance.

Random ForestSentiment NLP StreamlityfinancePlotly
Live Demo GitHub
Machine Learning Live

Customer Churn Analysis & Prediction

End-to-end ML pipeline comparing Logistic Regression, Random Forest, and XGBoost for predicting customer churn. Full EDA in Jupyter notebooks, interactive Streamlit dashboard with real-time prediction, and actionable business retention recommendations.

XGBoostRandom Forest Logistic Regression Streamlitscikit-learn
Live Demo GitHub
Analytics · Forecasting Live

Supply Chain & Inventory Optimization Dashboard

Streamlit analytics dashboard with Prophet and ARIMA demand forecasting, service-level driven safety stock planning, interactive cost vs. service trade-off slider, multi-scenario comparison (85%–99.9%), and automated reorder alerts. Co-developed with Arvind Dharanidharan.

ProphetARIMA Streamlitscikit-learnPlotly
Live Demo GitHub
Analytics · Finance Live

Financial Analytics Dashboard

Professional-grade financial analysis platform featuring live stock data, technical indicators (RSI, MACD, Bollinger Bands), portfolio tracking, and price forecasting with Prophet and ARIMA. Clean interactive charts built on Plotly.

ProphetARIMA StreamlityfinancePlotly
Live Demo GitHub
Deep Learning · Medical AI Research

Pneumonia Detection from Chest X-Rays

CNN-based pneumonia classifier using Transfer Learning (Inception/ImageNet) on the Kaggle chest X-ray dataset. Deployed via TensorFlow Lite for edge inference. References published research in Computational Intelligence and Neuroscience, 2022.

CNNTransfer Learning TF LiteKerasPython
GitHub
TinyML · Embedded AI Research

Magic Wand — Gesture Recognition on Arduino

End-to-end TinyML pipeline on Arduino Nano 33 BLE Sense: gesture capture via WebBluetooth API, model training in Google Colab with TensorFlow, and deployment with TensorFlow Lite Micro. Recognises hand-drawn digits 0–9 from accelerometer and gyroscope data.

TinyMLTF Lite Micro ArduinoPythonC++
GitHub

Academic background

Education

Sep 2022 – Aug 2025

M.Eng. Business Intelligence & Data Analytics

Hochschule Emden-Leer  ·  Emden, Germany

Overall grade: 1.91 (gut)  |  Thesis grade: 1.30 (sehr gut)

Thesis: Business Management Framework for Integrating Predictive Analytics into Financial Operations Using Power BI

Notable modules: Digitalization & Automation (1.0), Business Management (1.0), Strategic Management (1.3), Communication & Culture (1.7)

Grade 1.91 / sehr gut thesis

Jun 2015 – Jun 2019

B.Eng. Mechanical Engineering

Visvesvaraya Technological University  ·  Belagavi, Karnataka, India

Foundation in engineering mathematics, systems thinking, and technical problem-solving that underpins my approach to data infrastructure and software design.

Certifications:

Oracle Cloud Infrastructure 2025 Certified AI Foundations Associate — Valid until Sep 2027

Oracle OCI AI Foundations 2025

Get in touch

Available immediately
in Germany

Open to full-time roles in data engineering, analytics engineering, and AI engineering across Germany. Fluent in English (C1), German (A2).

vikasramaswamyj@gmail.com

Munich, Germany  ·  +49 163 548 3706

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