Sasi Swarnala

Developed SQL queries for ETL processes Developed MongoDB aggregation data pipelines to handle large volumes of HL7 CCDA EHR data Enhanced python scripts for data staging processes Streamlined unstructured data into structured data for analysis and reporting Contributed to data migration project from Relational DB to Non-relational MongoDB Experienced in all project phases using Waterfall and Agile Methodologies of software development Practiced code review and peer review for improvement in the performance, efficiency and standards Managed continuous integration and continuous deployment (CI/CD) initiatives Collaborated with onsite team for development and status updates Authored code fixes and enhancements for future releases Identified and resolved issues within the codebase Provided support during testing phases Experience with data modeling and warehousing Experience with building ETL pipelines using Informatica Experience with scripting languages like Python and Unix Shell Scripting Hands-on knowledge of DBT and Snowflake Hands-on knowledge of big data technologies such as Hadoop, Hive, Spark Experience with standardized, automated operational and quality control processes for accurate and timely data and reporting

Worked as automation test engineer on Selenium with Java Gained proficiency in writing, maintaining and executing test ware like test cases, plans, reports, etc. Understanding of scripting, HTML, x-path & reg-ex, XML, JSON As part of minor and major projects, tested web element functionalities of Snap Deal and Practo websites

Gained knowledge on Software Architecture with more focus on Quality and non functional requirements. Gained knowledge on agile processes. Gained knowledge on Scalable Services (micro services), Big Data Systems, cloud computing, edge computing, Object oriented design language, Devops. Hands on knowledge on Hadoop eco system, micro services built using java, spring boot, python, flask and deployement using docker and Kubernetes.

Gained knowledge on various Analogue and Digital system Design and tools like NI Labview, Multisim. Hands on experience with both hardware and Software tools like Arduino (micro controller), Matlab, Xilinx, FPGA, Hfss, proteous for designing PCB boards. Published paper on Image Processing and fussion, where we intake thermal image and IR image (multiple images) and fuse images to single image for detection using Deep learning technology like CNN usings python scripting.