Anshul Pahwa — VP of Engineering

Engineering manager with 11 years of experience in building large scale data processing applications, data products, event telemetry and analytics. Passionate about system design, efficient processes, hiring, and scaling impact in XFN setting via servant leadership. Expertise - Setting up data infra and data teams grounds up for E-commerce, Cloud Telephony, Fintech, and Healthcare. Helping product companies to build tools to collect and process data having high volume, velocity, veracity, and variety. Been consulting startups as an advisor for setting up data engineering function, defining roadmap and choosing right tech stack. Can add significant value at two stages : Designing data platform, ML Platform, data analytics grounds up at an org. Scaling/ Re-architecting an existing platform/product to cater growing data volume and consumers. --------------------------------------------------------------------------------- Specifics : > Hiring and managing high performant engineering talent > Defining vision, roadmap and helping org to move the needle in data products > Designing and building scalable fault tolerant data products, data platform/ingestion frameworks, self- serve analytics/reporting systems, data lake, and data warehouse on AWS/on-premises infra > Low latency data processing systems > System Design, Data modeling, ETL, stream processing, product analytics > Building data processing system using diverse components- spark,HDFS,s3,lambda, hive, dynamoDB, Redis et all > Well versed with AWS and GCP eco-system > Interviewed over 250+ candidates over last 3 years

Stackforce AI infers this person is a Data Engineering and AI Product Management expert in E-commerce and Fintech.

Location: Vancouver, British Columbia, Canada

Experience: 16 yrs 6 mos