Summary
Ajinkya Parkar is a Senior Software Engineer and Python Big Data specialist with nine years of experience building scalable data pipelines and analytics for finance, healthcare, and enterprise networks. He combines deep expertise in Python, Scala, Apache Spark, and AWS with hands-on experience in Kafka, MongoDB/SOLR, Databricks, and Airflow to drive production deployments and automated reporting. At IBM and SMBC he delivered real-time monitoring, compliance report automation, and anomaly detection systems that reduced downtime and surfaced actionable insights for product and network teams. Comfortable across the full stack—from Spark cluster tuning to Angular UIs and backend APIs—he also applies machine learning and predictive modeling to clean, classify, and enrich large datasets. A Pace University computer science graduate, Ajinkya is particularly adept at translating client use-cases into robust data architectures and has a history of improving performance and reliability in production systems.
9 years of coding experience
8 years of employment as a software developer
Bachelor's degree Information Technology, Bachelor's degree Information Technology at Saraswati Education Societys Saraswati College of Engineering Kharghar Navi Mumbai
Master's degree Computer Science, Master's degree Computer Science at Pace University
English, Marathi, Hindi