Akhilesh Naredla
Портфолио
Kroger Co
● Managed datasets with Pandas DataFrames and PostgreSQL, implemented Django forms for data recording. ● Orchestrated microservice deployment with Ansible, stored data in Snowflake for analysis, and utilized NumPy and Pandas for predictive analytics. ● Leveraged Power BI/Tableau for visualizing inventory data, collaborated with business users for tailored solutions. ● Implemented automated alerts for low inventory levels and integrated weather data analysis into forecasting model.
Lumen Technologies
● Involved in full SDLC, architecting scalable platforms, and developed views and templates with Python Django. ● Implemented Microservices architecture with FastAPI, utilized Python ORM libraries, and worked with SAP systems. ● Developed Python-based web services, ETL activities, and worked with AWS for storage and data transformation. ● Utilized AWS services for security and storage, worked with JSON-based REST web services.
PIMCO
● Worked on providing Historical Trading data for Quant teams for their back testing and diff trading strategies. ● Deployed Apps to public and private PAS ● Worked on migrating Apps from UAA Authentication to OKTA Authentication ● Managed datasets for futures, options, and trading hours of diff securities ● Onboarded vendor data to Snowflake, using AWS S3 for storing files and Cloud SQL for databases and deployed applications. ● Involved in building APIs and python web services using Flask on the backend and created a front-end using JavaScript. ● Design and maintain databases using Python and developed Python based API (RESTful Web Service) using Flask, SQL Alchemy. ● Automate different workflows, which are initiated manually with Python scripts. ● Use Python unit and functional testing modules such as unit test, mock, and custom frameworks in-line with Agile Software Development methodologies. ● Worked with Requests, NumPy, SciPy, Matplotlib, and Panda’s python libraries during development lifecycle for creating python packages with custom methods according to user needs. ● Leveraged AWS Lambda functions in response to events such as file uploads, database changes. ● Scheduled Automated Jobs to Migrated Data from SQL data base to NoSQL database Mongo DB – Document DB. ● Created AWS resources and policies on how to access those resources using Terraform(Infrastructure as code) ● SQL database to MongoDB without loss or corruption. ● Monitored and tuned the performance of Mongo DB with existing applications. ● Onboarded data to Oracle SQL Server database and used sqlalchemy to create MVT type architecture in Flask Web Application ● Managed and Maintained Spring boot micro services in Java. ● Used AWS ES to deploy Elasticsearch using the managed service called Amazon Elasticsearch Service (Amazon ES). Amazon ES makes it easy to deploy, operate, and scale Elasticsearch clusters in the AWS cloud.