Ravikiran

• Developed and maintained RESTful APIs using Flask with blueprint architecture to ensure scalability and modularity of web applications.
• Designed and optimized database models in Google Cloud Datastore and AlloyDB, enhancing system performance and efficiency.
• Implemented JWT-based authentication and integrated Firebase authentication workflows to secure user access.
• Managed large data processing tasks, including bulk uploads and Excel file handling, to support extensive datasets.
• Optimized dropdown handling for large datasets, improving frontend-backend interactions and user experience.
• Implemented robust logging and monitoring mechanisms using LoggerUtil and Google Cloud logging services for effective system tracking.
• Ensured structured API responses with ResponseUtil for consistent and streamlined client communication.
• Enhanced system performance through efficient caching and data retrieval strategies using GeneralCacheDB.
• Identified and resolved performance bottlenecks, ensuring smooth and uninterrupted system operation.
• Collaborated with cross-functional teams to implement security best practices and improve overall system efficiency.

Technical Skills :

• Programming : Python, Flask,FastAPI, Pydantic, RESTful APIs.

• Databases: Google Cloud Datastore, Alloy DB (PostgreSQL-compatible).

• Authentication & Security: Firebase Authentication, JWT (JSON Web Tokens).

• Cloud Services: Google Cloud Platform (GCP), Google Cloud Storage, App Engine, Cloud Run, Cloud Functions.

• Developing Python-Cassandra Script to migrate data from Splunk to Cassandra using Splunk API for python.
• Developing an ML model to detect Anomalies of Incoming Volume data extracted from Cassandra database.
• Implementing an SMTP code to alert all the stakeholders about anomalies generated in the last hour and updating the same to Cassandra.
• Programming, testing, and implementing basic needs.
• Deploying the python script on windows task scheduler to run the script at the scheduled time.
• Constantly monitoring the emails and analyzing patterns of anomalies and creating visualizations for better understanding of stakeholders.

Technical Skills:

• Programming: Python, Splunk API for Python, Flask
• Databases: Cassandra
• Machine Learning: Anomaly Detection, Model Development
• Scripting & Automation: Windows Task Scheduler, SMTP Email Alerts
• Data Integration: Splunk to Cassandra Migration
• Data Analysis & Visualization: Pattern Analysis, Stakeholder Reporting
• Testing & Debugging: Script Testing, Error Handling

• Understanding business requirements from product owners and participating in requirement analysis.
• Identifying key data fields to be gathered in design logic to facilitate implementation in python.
• Developing reusable, fault tolerant and scalable Python code to crawl.
• Parsing HTML and XML data efficiently with BeautifulSoup, and automating large-scale web scraping tasks using Scrapy spiders.
  Performing data cleaning and storing the structured data into a SQL database
• Implementing Exception handling mechanism so that developers get alerted when script fails.
• Performing Unit Testing on each module to see if there are any validations.
• Implementing Multiprocessing to enhance performance of the code.

Technical Skills:

• Programming: Python,Flask
• Web Scraping: BeautifulSoup, Scrapy
• Databases: MySQL, SQLite
• Testing: Pytest, Unittest
• Data Handling: Pandas, JSON, CSV
• Tools: Git, Postman
• Others: HTML, XPath, CSS Selectors, REST APIs