About

Shashwat Shukla is an Engineering Lead at ZS with over five years of experience in the field of data engineering and big data solutions. He is a three-time AWS certified professional and an expert in Python programming language. As a business analyst, Shashwat has been responsible for implementing cloud-based solutions for clients' big data problems. He has led teams of associates to design and develop multiple Python Flask services that follow complex business rules and support the backend for Angular-based web applications. Shashwat's responsibilities include technical architecture, reporting data models, creating development timelines, highlighting risks and blockers to management, and ensuring modules are developed, tested, and migrated to production on time while following an Agile SDLC model. Shashwat has worked with multiple clients in the clinical trials domain, where he has set up AWS-based Clinical Data Lakes that act as the core data layer for multiple clinical trials based internal assets. He has also designed and developed AWS cloud-hosted adapters to ingest clinical trials data from multiple unstructured data sources and make the data available in structured format for various downstream processes, including data science models and reporting databases for an Angular + Python Flask-based web application. Apart from his primary responsibilities, Shashwat also serves as the AWS admin for the Big Data expertise center and helps teams set up PoC and demo environments, which has helped the firm win various projects. He has worked on multiple tech PoCs for the Big Data expertise center, working closely with leadership, and helped establish a PoV on various new technologies, thereby helping the team make decisions on technical architecture for a large-scale client implementation. Shashwat holds a Bachelor of Technology degree in Computer Science from VIT and has expertise in AWS, Big Data, Python, Data Engineering, Flask, Web, Backend, Apache Airflow, Jenkins, Selenium, Spark, Amazon Athena, CI/CD, Kubernetes, and ETL. With his relevant experience of 5.70 years, Shashwat is a valuable asset to any organization looking for an expert in data engineering and big data solutions.