Muhammad Hammad Chaudhary
Data Engineer @Rebike Mobility
Signup · Get unlimited contacts
WORK HISTORY
Data Engineer @Rebike Mobility
Munich, DE
Scaling data infrastructure for Europe’s largest e-bike refurbishment operations • Migrated all Matillion pipelines to a new instance, introducing Git-based version control, standardized code practices, and comprehensive documentation → improved maintainability, collaboration, and audit readiness• Initiated migration of near real-time jobs to Apache Airflow (ongoing) → modernizing orchestration with 5–15 min schedules and setting the foundation for more reliable data workflows• Designed and optimized ETL/ELT pipelines across ERP, leasing, and e-commerce systems → ensured consistent, high-quality data delivery to downstream analytics• Reduced AWS costs (S3, BigQuery) by optimizing queries and restructuring storage → delivered measurable cost savings while improving performance• Automated monitoring with Python + AWS Lambda/EC2, cutting job failures by ~100% and improving overall platform resilience• Developed Retool applications for procurement workflows and real-time KPI dashboards → adopted as mission-critical tools for supplier coordination and daily operations• Contributed to Parts Inventory Management (PIM) system → enhanced spare parts lifecycle tracking and procurement accuracy• Integrated SaaS/data platforms (ChannelEngine, HubSpot, Braze) → streamlined marketing, sales, and ops workflows• Drove AI compliance initiatives (reporting, governance, usage checks) → ensured responsible adoption of AI-powered tools within the organization• Pioneered ML-powered automation (OCR + CNNs + OpenAI API) for product classification → eliminated manual entry and improved listing accuracy, boosting efficiency• Proactively delivered scalability improvements to support circular economy logistics
EDUCATION
University Of Central Punjab
Bachelor of Science - BS, Computer Science
University of Potsdam
Master of Science - MS, Data Science
ABOUT MUHAMMAD HAMMAD CHAUDHARY
I am a Data Engineer with 4 years of experience across data engineering, BI, compliance, and research. I specialize in building scalable data systems, optimizing cloud infrastructure, and enabling data-driven decisions. With a BSc in Computer Science and an MSc in Data Science, I combine academic depth with practical experience across fintech, e-commerce, and mobility.• At Rebike Mobility, I scaled the data platform for Europe’s largest e-bike refurbishment operation. I migrated Matillion pipelines to a Git-standardized instance with full documentation and process improvements, optimized AWS costs, automated monitoring with Python, and developed Retool apps that streamlined procurement and KPIs. I also contributed to AI compliance initiatives, ensuring responsible integration of AI tools into operations.• At Amazon, I worked as a BI Engineer, consolidating datasets into a single source of truth, automating reporting pipelines in QuickSight and SQL, and improving logistics efficiency by reducing shipment errors by 20% and increasing vendor return efficiency by 10%.• My earlier roles in IT compliance (Innocean), research (University of Potsdam, deep learning), and software engineering (Techlogix, fintech) gave me a broad technical foundation and governance perspective, which I now apply to modern data engineering.I thrive in roles where I can design reliable pipelines, ensure compliance, and align data platforms with business needs. My diverse background allows me to bridge engineering, governance, and analytics while preparing for mid-senior data engineering responsibilities.
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.