Snowflake Data Modernization for Major automotive Company

Business Problem/Scope of Work

  • Modernization of BI
  • Data warehouse
  • Cloud computing

Business Solutions

  • Design scalable patterns and architecture to support both batch and real-time data products & platforms using big data technologies.
  • Ensure physical and logical data models are designed to support future, unknown useBcases with minimal rework.
  • Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming, data in-transit.
  • Contribute to the direction, road map and standards for functional, process and technical Data solutions.
  • Evaluate and advise on local or domain data architecture solutions for medium to large portfolio projects. development challenges inherited with highly scalable, highly available, and highly resilient systems.

Technical Solutions

  • Analyzing and translating business requirements into functional and technical requirements and design.
  • Designing, implementing, and analyzing high performing queries.
  • Build and maintain performant, fault-tolerant, scalable distributed software systems.
  • Need to move data from multiple sources (databases, device log files, Rest APIs etc.).
  • Extracting, Transforming, and loading data into data lake.
  • Making single source of truth for all kind of data.
  • Doing analysis on the data for data warehouse and analytical purpose for BI and reporting applications.
  • Machine learning / AI

Technologies/Skills Used

Snowflake. AWS, Looker, SQL Server. GitHub, Docker etc.

Customer Success Outcomes

  • Fast and accurate reporting
  • Valuable business insights
  • Competitive analysis
  • Better data quality
  • Increased customer satisfaction
  • Identifying market trends
  • Increased operational efficiency
  • Improved, accurate decisions
  • Increased revenue