Summary
Junaid Effendi is a Staff Data Engineer in New York with 11 years building large-scale distributed data platforms and operationalizing pipeline reliability across batch and streaming systems. He has owned hundreds of pipelines and data models, redesigned streaming to meet 1-minute SLAs at 50K msgs/min, and led migrations and GovCloud (FedRAMP) projects while driving $25K/month cost savings through infra and pipeline optimizations. His toolkit spans AWS, GCP, Spark/Scala, Databricks, Airflow, Terraform, Snowflake and emerging GenAI tooling like LangChain, reflecting a rare blend of hands-on engineering and architecture. Prior roles include revamping data stacks to cut BigQuery costs by 70% and migrating large SQL codebases to Spark for 5x faster processing, demonstrating strong delivery and cost discipline. A former founder and early full‑stack engineer, he pairs product-minded instincts with technical leadership—mentoring teams, running tech talks, and pushing cross-team collaboration to accelerate data-driven decisions.
11 years of coding experience
13 years of employment as a software developer
Engineer’s Degree, Computer and Information Systems, Engineer’s Degree, Computer and Information Systems at NED University of Engineering and Technology
english, urdu