Description

I am a results-driven AI/Data Engineer with over 8 years of experience in building AI platforms, optimizing data pipelines, developing data models, and implementing data-driven solutions. I have secured 2nd place in hackathons organized by Amazon and Mercedes-Benz, showcasing expertise in data analysis, LLM, and big data technologies.

My skills include Python, SQL, PySpark, and tools like Apache Airflow and Docker, with extensive experience on cloud platforms such as Snowflake, AWS, Azure, GCP and Databricks. I excel in data visualization with Tableau, and leveraging large language models (LLM). I am passionate about automating workflows and driving strategic decision-making through data.

Industry field of expertise

Languages

English
Native or bilingual
German
Conversational

Workplace preferences

Remote only

Primarily works remotely

Syncpilot Group GmbH & Co.KG
Senior AI Data Engineer
DIGITAL AND IT
December 2024 - June 2026 (1 year and 6 months)
Augsburg, Germany
Joined as the first dedicated data hire, built the entire data platform from scratch and now lead the team. Platform handles TBs and tens of millions of records across Marketing, Sales and Project Management. Also serve as the company's AI enabler, guiding AI adoption across all departments.
• Leading the data team, setting technical direction, conducting code reviews and mentoring engineers across data engineering and AI workstreams.
• Built a cloud-native data platform on AWS (primary) and Azure following medallion architecture, covering ingestion, transformation and serving layers end-to-end.
• Orchestrated automated pipelines with Apache Airflow v3 and provisioned infrastructure with Terraform, reducing cloud costs by ~40% through right-sizing and smarter scheduling.
• Automated data ingestion from SAP, Jira, Confluence and Personio. Making multi-million record transfers routine and cut report delivery from weeks to minutes.
• Implemented event streaming alongside batch pipelines for real-time data flows and event-driven use cases.
• Built an in-house ChatGPT-style AI product integrating OpenAI and Anthropic APIs using LangChain, LangGraph, LiteLLM and CrewAI for conversational and multi-agent workflows.
• Designed RAG pipelines with Pinecone, Weaviate and pgvector, grounding LLM responses in internal company data. Fine-tuned Google Gemma using LoRA/PEFT to reduce reliance on proprietary APIs.
• Led company-wide AI enablement, running workshops with Marketing, Sales and Operations to identify and implement high-impact AI use cases.
Python Docker Apache Airflow SQL artificial intelligence
iib Institut GmbH
Senior Data Engineer
REAL ESTATE
May 2023 - July 2024 (1 year and 2 months)
Berlin, Germany
Transformed manual processes into automated data-driven solutions in the real estate industry, delivering €100,000 in annual savings and leading LLM development for the company's knowledge base.

Key Achievements
• Achieved annual savings of €100,000 through automation and innovative data solutions.
• Led the data team in developing an LLM to enhance the company's internal knowledge base.
• Deduplicated listings from multiple sources, eliminating millions of duplicates and reducing AWS storage costs.
• Designed and implemented a new data workflow system, migrating existing pipelines without disrupting operations.

Responsibilities
• Designed and implemented cloud architectures using AWS S3, Lambda, Glue, Athena and Aurora.
• Developed and managed ETL pipelines using Apache Airflow and DBT.
• Led real-time data ingestion using AWS Kinesis, SQS and SNS.
• Automated deployment pipelines via GitLab CI/CD.
Python ETL PostgreSQL Docker Apache Airflow
Punjab Information Technology Board
Program Officer (Data Engineering Focus)
October 2021 - May 2023 (1 year and 7 months)
Lahore, Punjab, Pakistan
Managed a public sector data project (Rs. 550M budget) focused on data governance, master data management and a centralised data warehouse to establish a single source of truth.
• • Designed and implemented a Master Data Management system as the single source of truth for decision-makers.
• • Built AWS Glue and RDS-based pipelines to centralise public sector data.
• • Implemented GDPR-compliant data governance while collaborating with KPMG on MDM solutions and Azure Data Factory BI tooling.
• • Worked with Azure Synapse for data warehousing and integrated data via SAP, API Gateway and AWS Lambda.