Kanan Patel
Engineering Manager II, Data Platforms at Uber
- Role
- Engineering Manager Ii at Uber
- Location
- San Francisco, CA, US
- LinkedIn followers
- 500 followers
About Kanan Patel
Data Engineering leader with 12+ years of experience architecting and delivering analytics-optimized curated datasets(batch and real-time) and data engineering frameworks to enable the analytics, data science, and product teams.
Experience
Engineering Manager Ii
Mar 2022 — Present · San Francisco, CA, US
Leading high-performing Data Engineering team of 14 engineers owning two charters i.e. Data Transformation Platform(In-house ETL frameworks) and Central Data Warehouse powering analytics use cases across Uber.• Identified gaps in data engineering tooling, solicited feedback from key stakeholders, and launched a unified data transformation ETL platform(Python) for dimensional datasets to streamline the data pipeline development process and improve developer productivity.• Collaborated with program and platform teams to develop a technical roadmap for real-time regulatory reporting solutions.• Guided team on delivering Apache Hudi-based ETL framework(LakeHouse) for dimensional data models and improved data completeness and freshness.• Established strong cross-functional partnerships and stakeholder engagement with multiple product teams to deliver efficient and scalable data solutions for Cross-Platform Analytics unlocking cross-sell opportunities.• Co-founded Data Engineering Council to evangelize data engineering best practices across Uber• Hiring top talent and mentoring team members on technical challenges.
Education
Fairleigh Dickinson University
Master of Science, Management Information Systems
2010 — 2011
University of Mumbai
Bachelor of Engineering, Information Technology
2005 — 2009
Skills
- Data Warehousing
- Vertica
- Mysql
- Hadoop
- Hive
- Data Modeling
- Ssis
- Business Intelligence
- Analysis Services
- Agile Methodologies
- Sql
- Pl/Sql
- Sdlc
- Extract, Transform, Load (Etl)
- Html
- Amazon Web Services (Aws)
- Etl
- Dimensional Modeling
- Python
- Databases
- T-Sql
- Oracle
- Requirements Analysis
- Big Data
- Software Development Life Cycle (Sdlc)
- Microsoft Sql Server
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