MANIKANTA KODANDAPANI NAIDU
Bloomington,USA
Summary
Incisive, Passionate, Enthusiastic, Detail-oriented, and fast learning professional possessing technical expertise in analyzing data to support critical business problems and developing scalable solutions.
Overview
2
2
years of professional experience
Work History
Data Engineer
Quantiphi Analytics Solutions
2021.07 - 2023.07
- Led development efforts in the Synthetic Data Engine project, playing a pivotal role in designing and creating the Mini Image Reader Framework. This framework, integrated with scalable GCP services, assessed the quality and accuracy of synthetic medical images generated by machine learning models, ensuring model verification for production.
- Demonstrated exceptional problem-solving skills by promptly resolving bugs and issues identified by the quality analysis team, ensuring timely project deliveries.
- Contributed as a Data Engineer on the Digital Pathology project within the HCLS business unit. Crafted end-to-end data ETL pipelines, encompassing data parsing, preprocessing, and ingestion workflows. These pipelines efficiently transferred data from on-premises databases to the GCP radiology data lake, empowering clients to engage in advanced machine learning and analytics initiatives in the healthcare sector.
- Spearheaded the development of an automated ingestion pipeline as part of the App Factory project. This pipeline standardized and ingested medical image annotations (DICOM) from external sources into the Google Cloud Platform data lake.
- Conducted comprehensive data analysis utilizing tools such as BigQuery and Elastic Search, delivering valuable insights from the ingested data.
- Proficiently managed API gateway tools, including APIGEE and Akana, to host existing APIs as API products. This strategy allowed customers to subscribe and utilize the products while exploring monetization features to generate revenue from API usage.
- Actively mentored junior team members, fostering their professional growth and development while transferring valuable knowledge and skills.
Data Engineer Intern
Quantiphi Analytics Solutions
2021.01 - 2021.06
- Served as a Data Engineer intern with a focus on backend Python development. Developed a solution for the GCP IOT Core use case, responsible for receiving telemetry data from IOT devices, processing it, and ingesting it into GCP databases.
- Gained extensive exposure to healthcare EMR (electronic medical record) systems, acquiring an in-depth understanding of EMR data standards, data formats, and types, properties and features. Developed a pipeline to seamlessly ingest streaming health data from a simulated hospital website into the GCP Cloud.
- Briefly contributed to Google's HDE (Health Data Engine) project, exploring various conversion solutions for health data.
- Underwent training in essential technologies, including Google Cloud Platform (GCP), Amazon Web Services (AWS), Docker, and Python.
Education
Master of Science - Data Science
Indiana University
Bloomington05.2025
Bachelor of Engineering - Electrical & Electronics
Bangalore University
Bangalore, India08.2021
Skills
- Languages and Models: Python, R, C/C++, Tableau, Data Studio.
- Web Technologies: Rest API, JSON, XML, KIVY, HTML5, CSS.
- Cloud & DevOps: Google Cloud Platform, Amazon Web Services, Docker
- Databases: MySQL, PostgreSQL, ETL, Cloud Databases , NoSQL, Database Design and Modeling.
- Operating Systems: Microsoft Windows, Linux.
- Certifications: Associate Cloud Engineer - GCP, Professional Data Engineer – GCP.
Timeline
Data Engineer
Quantiphi Analytics Solutions
2021.07 - 2023.07
Data Engineer Intern
Quantiphi Analytics Solutions
2021.01 - 2021.06
Master of Science - Data Science
Indiana University
Bachelor of Engineering - Electrical & Electronics
Bangalore University
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