Mohammad Mannan Akmal Email & Phone Number

New York, United States

• Developed a end-to-end testing framework across 8 ingestion flows using Python andAirflow, achieving zero manual intervention, accelerating release cycles by 40%• Developed ETL pipelines using Argo Workflows for Upwork data, safely ingesting16M profiles and 130M job posts, generating $400K in additional revenue• Optimized SQL queries in Snowflake, reducing ingestion costs by $30,000 monthly• Ensured 24-hour SLA compliance for top-tier clients and hedge funds, maintaining fastestresponse time across a six-engineer weekly on-call rotation through PagerDuty

Newport Beach, California, United States

• Led a team of 7 engineers to implement efficient on-boarding processes, scaling capacity to 300 facilities/day and securing a $1.4M Australian client• Designed and automated robust large-scale ETL pipelines using Python and Airflow, achieving a significant 1400% performance improvement• Engaged in a 1-month client visit in Los Angeles, dedicated to strengthening client relationships and providing high-level support• Implemented high volume data scrapers using a suite of tools including BeautifulSoup,Selenium, and FastAPI, reducing data collection latency by 93%• Debugged and addressed production issues as part of regular on-call rotation

Newport Beach, California, United States

• Developed a Time Series Forecasting model using IOT sensor data to predict harvesterengine overheating, reducing engine breakdown by 75%• Designed and implemented a bi-directional synchronization service in Python, enabling60,000 users to monitor their harvesters in real-time• Created reporting dashboards for end users using PySpark with Databricks• Enhanced and maintained a suite of microservices instrumental in transforming raw machine sensordata and driving KPI calculations