Hi, this is Faris Hussain
Modern Data & ML platforms for AI systems
I help businesses bring their data together, build reliable pipelines, and put AI to work in real business workflows. Based in Munich, I combine platform architecture with hands-on engineering, from modernising legacy systems to building and evaluating AI applications.
Data Vault 2.0
Specialist
M.Eng. AI
Autonomous Systems
Munich
Germany · Remote-friendly
Worked with
Services
Practical engineering for dependable data foundations, reliable pipelines and AI-enabled workflows.
Data Platform Architecture & Modernisation
Modernise legacy platforms and design dependable data foundations, from cloud migration planning to Medallion architectures that support analytics and AI workflows.
Data Warehousing & Modelling
Turn data from multiple sources into reusable, well-structured datasets using Data Vault 2.0, dimensional modelling and warehouse automation with tools such as VaultSpeed.
Platform Engineering & Governance
Build repeatable cloud environments with Terraform and CloudFormation, governed data access, automated testing and CI/CD deployment workflows.
Data Pipelines & Orchestration
Build reliable ingestion and transformation pipelines with AWS Glue, Talend or Kafka, using Airflow for scheduling and visibility into pipeline health.
AI Integration & Evaluation
Connect domain-specific agents to business workflows using Google ADK and Amazon Bedrock. Evaluate agent behaviour against clear baselines through controlled tests and simulations.
Analytics & Self-Service Data
Make trusted data accessible for reporting and business decisions through well-modelled datasets and self-service analytics, including ThoughtSpot, Power BI and Tableau.
Experience
Platform Data Engineer · Enmacc GmbH
Feb 2025 – PresentMunich, Germany (Hybrid)
- Designed Medallion-based data architecture for energy trading analytics and platform modernisation.
- Provisioned infrastructure with Terraform and AWS CloudFormation; built data pipelines and governed data foundations using AWS Glue, S3, Lake Formation and Lambda.
- Implemented Apache Airflow for workflow orchestration and visibility into pipeline health.
- Led the analytics transition from Power BI and Tableau to ThoughtSpot for natural-language search and self-service reporting.
- Contributed to energy-trading agent R&D, designing goal-oriented agents with Google ADK and Amazon Bedrock.
- Integrated Cursor, GitHub Copilot and Gemini into software development workflows.
Senior Data Vault Engineer · Royal Cyber Inc.
Mar 2023 – Nov 2024Naperville, IL, USA (Remote)
- Migrated enterprise insurance and finance data from legacy systems to Snowflake using Data Vault 2.0 models across multiple sources.
- Built SQL transformations and ETL pipelines with Talend for batch processing and Kafka for streaming.
- Automated orchestration with Airflow and warehouse modelling with VaultSpeed; integrated SAP HANA data and replaced SAP BODI ETL logic with Talend.
- Managed warehouse and pipeline deployments through Azure DevOps CI/CD.
Senior Data Warehouse Engineer · Astera Software
Jul 2020 – Mar 2023USA (Remote)
- Contributed to Astera's Data Warehouse Builder, a reusable, metadata-driven product with automated Data Vault generation and ETL orchestration.
- Implemented Data Vault 2.0, Kimball dimensional and Inmon 3NF models for warehouse design.
- Built Azure Synapse Analytics warehouses and ETL pipelines supplying business datasets and data for ML model training.
- Maintained data pipelines across Snowflake, Redshift, Oracle, SQL Server, PostgreSQL and Azure.
Key Projects
Read full case studies →Data Platform Modernisation — Energy Commodities Trading
AWS · Redshift · Lambda · Glue · Medallion Architecture · Airflow · Python
Designed Medallion-based architecture for energy trading analytics, with cloud data pipelines and Airflow orchestration.
Impact: Medallion-based platform design, cloud ingestion pipelines and observable data workflows.
Data Warehouse Builder — Product Development
Data Vault · Metadata-Driven Design · ETL Automation
Contributed to Astera's low-code warehouse product, translating modelling patterns into metadata-driven Data Vault generation and ETL orchestration.
Impact: Reusable warehouse automation within a software product rather than a single client implementation.
REST API Browser — Feature Development
REST APIs · HTTP Methods · API Integration
Built drag-and-drop REST API discovery and integration within Astera Centerprise for connecting third-party data sources.
Impact: API discovery and configuration available directly within the integration platform.
Technical Skills
Programming
Databases
Cloud
Data Processing
ETL & Modelling
AI & ML
Visualisation
DevOps
Education
M.Eng. — Artificial Intelligence of Autonomous Systems
2024 – 2026Technische Hochschule Ingolstadt, Germany
Thesis: Simulating Over-the-Counter Energy Liquidity — Evaluating LLM Multi-Agent Systems in RFQ Dynamics.
Postgraduate Diploma — Big Data Analytics
Feb 2023 – Oct 2023Institute of Business Administration (IBA)
Hadoop, Apache Spark, MapReduce, Airflow, Kafka, MongoDB.
B.Eng. — Computer Systems Engineering
2016 – 2020NED University of Engineering & Technology
Final Year Project fully funded by Ignite National Technology — Top 21 NGIRI-2020.
Frequently Asked Questions
Data platform modernisation, warehouse modelling, platform governance, reliable pipelines and self-service analytics. I also integrate domain-specific AI agents into workflows and evaluate their behaviour against clear baselines.
Both. I combine architecture and advice with hands-on implementation of data models, pipelines, infrastructure as code and AI integrations. The scope can include testing, deployment automation and evaluation.
I'm a Platform Data Engineer at Enmacc GmbH. I'm open to selective consulting, advisory and collaboration work alongside that role. Share your project scope so we can discuss fit and availability.
Energy trading, insurance and finance, plus data-platform product development. My work spans warehouse migration, cloud pipelines and analytics, with agent-development R&D and separate simulation-based research.
Munich, Germany. I work with teams across Europe and the US, having previously worked remotely with clients based in the USA.
Let's discuss your data challenge
Tell me what you want to improve in your data platform, pipelines or AI workflows. I'm open to selective consulting and advisory work alongside my role at Enmacc.
Munich, Germany · +49 162 8582393 · +92 334 3974364