Qaiser Iqbal

Enhanced operational efficiency by 60% through developing solutions for business and commercial services. Automated data extraction, report creation, and email distribution by building ETL workflows with Apache Airflow. Simplified project deployment using Docker, leading to a 40% reduction in deployment time. Configured servers and developed serverless applications on AWS, optimizing infrastructure costs by 30%. Integrated CI/CD to project with Jenkins, reducing deployment speed by 40%. Developed a search engine bot to efficiently locate information within internal documents, improving data retrieval speed by 50%.

Developed backend services for internal data engineering tools using FastAPI, SQLAlchemy, and Docker, simplifying data import, export, and processing, reducing data preparation time by 50%. Implemented a YAML-driven workflow execution system integrated with Airflow and Databricks, automating data jobs and reducing process launch errors by 40%. Built AWS Lambda functions to import and process messages from Amazon SQS, integrating them into Databricks for further analytics, reducing message processing latency by 30%. Automated data processing and deletion workflows in compliance with CCPA regulations, enabling seamless regulatory compliance without manual intervention. Configured CI/CD pipelines in GitLab for automatic deployment and testing, decreasing deployment time by 25%.

Led the design and implementation of new features impacting thousands of customers, including a trader platform supporting real-time communication. Improved system performance through proactive adjustments and timely bug fixes. Actively developed new features using Node.js and React.js and worked closely with cross-functional teams to integrate various APIs and data sources. Carried out on-call duties, monitored critical applications, responded efficiently to production incidents, performed root cause analysis, and authored post-mortem reports.