Summary
Shaifali Singh is a senior data engineer and consultant with 14+ years of experience designing enterprise-scale cloud data platforms that process multi-terabyte and 10TB+ daily workloads across AWS, Snowflake, and Databricks. She architects high-performance ETL/ELT and real-time streaming pipelines (PySpark, Kafka, dbt, Airflow) with a strong focus on cost optimization, observability, and governance, having driven $200K+ annual cloud savings and 40% latency reductions. Shaifali combines hands-on Delta Lake and Databricks optimization expertise—partitioning, Z-ordering, MERGE upserts, and time travel—with production-grade SLA-driven operations. She has a track record of enabling $5M+ revenue opportunities through analytics and building ML feature pipelines for churn, forecasting, and recommendations. Beyond technical delivery, she mentors engineers on modern data stack best practices and brings cross-functional product experience from roles at Apple, Intuitive Surgical, Google and Autodesk. Based in Sunnyvale, she pairs a data analytics certificate from UC Berkeley with international business training to bridge technical solutions and business impact.
10 years of coding experience
7 years of employment as a software developer
Data Analtyics Certification Program, Data Analtyics Certification Program at University of California, Berkeley
Master's degree International Business, Master's degree International Business at Hult International Business School
Bachelor of Engineering (B.E.) Computer Science, Bachelor of Engineering (B.E.) Computer Science at VTU University
English, Hindi