Experienced Backend Engineer with a comprehensive skill set in building and optimizing high-performance backend systems and data pipelines. Key responsibilities and achievements include:API Development: Expertise in developing robust APIs for CRUD operations, incorporating sophisticated user roles and permission modules using Python, Go, and Node.js.Cloud Solutions and Reporting: Proficient with AWS S3 and Athena for advanced reporting. Innovated a dynamic live reporting system and a scalable blacklist system for enhanced performance.Data Pipeline and Workflow Management: Implemented Airflow for efficient data pipeline management and integrated Slack for real-time failure notifications, ensuring rapid response and system reliability.Financial and Subscription Management: Managed subscription and financial systems using Stripe based on monthly impression volumes.Email and Communication Systems: Utilized SendGrid for streamlined email system management.AI-Driven Solutions: Leveraged AI tools like Synthesia for video generation from text and ChatGPT for text generation from keywords.High-Performance Data Management: Enhanced system performance using Aerospike and Redis servers, handling over 1 million requests per minute.Database Management: Skilled in handling both SQL and NoSQL databases, utilizing PostgreSQL and MongoDB for diverse data management.Advanced Reporting and R&D: Conducted R&D for reporting solutions, testing and evaluating Firebolt and Clickhouse for their efficiency and performance in handling large-scale data.In-Depth Reporting Capabilities: Developed comprehensive reports including key metrics like impressions, watch time, VCR, earnings by ad, and ad spending using Firebolt.

Python Development and Data Analysis:Developed scripts for data analysis using NumPy and Pandas.Performed data visualization utilizing Matplotlib.Script Optimization and Dependency Management:Recreated a Python script to remove dependency on Anaconda.Enhanced a Python script to improve performance from 3 seconds to 1.8 seconds on test data.Automation and Data Integration:Created a Python script for automating processes with approval and email notifications.Script integrated data from CSV files, Excel files, and SQL tables, consolidating it for new value derivation using Pandas and NumPy.SQL Optimization:Optimized SQL structures and queries, reducing data load times from 7 minutes to 4 minutes.Document Management System in Creatio CRM:Designed and built a document management flow with multiple simultaneous processes and sub-processes.Developed C# scripts for triggering processes at specific time intervals or events.Managed input data conversion from XML to JSON for PDF generation using Fast report Templates in Creatio CRM.Script Development for Creatio CRM:Assisted in creating shell scripts.Developed C# and Python scripts to process input from spool files for Creatio business processes.ETL Process and Data Migration:Played a major role in the ETL process by developing SQL scripts for data migration.Focused on cleaning unwanted data and capturing data from flat files to reduce data redundancy.