Cumming, Georgia, United States
Highly motivated and technically proficient master's graduate with a specialization in data engineering, seeking an entry-level position in the field. Skilled in programming languages such as Python & SQL, with a keen understanding of data warehousing, ETL processes, and DBMS (database management systems), coupled with excellent communication and collaboration abilities.
•Designed and maintained scalable Snowflake views and Dynamic Tables to enable reliable product analytics and executive reporting for VPs and Directors across Product and Engineering teams. •Built end-to-end data pipelines using SQL and Python, by sourcing and integrating data from Salesforce (SFDC), AWS services, and Humio, consolidating 5+ sources into a Single Source of Truth (SSOT) for reporting. •Developed optimized data models in Snowflake to support Tableau dashboards, Python-based Dasheng dashboard, and Streamlit applications, enabling real-time visibility into product usage and customer performance. •Improved dashboard responsiveness by 40% through Snowflake performance tuning, optimized SQL queries, efficient view design, and reduced compute overhead on large-scale data sources. •Eliminated manual reporting and saving several hours while improving accuracy and consistency of SaaS KPIs including Churn, NRR, GRR, customer adoption, product engagement, and customer segmentation.
• Executed Glue Jobs, achieving completions for ETL processes into Snowflake, establishing connections with RDS, S3, and Snowflake. • Developed AWS Lambda functions for job scheduling and implemented event-based triggers via AWS CloudWatch Events. • Designed workflows using AWS Step Functions and configured notifications with Amazon SNS for email alerts. • Collaborated in Sprint Tasks, providing updates in Daily Standup Meetings. • Applied expertise in open-source Generative AI large Language Models (LLMs) like Llama and cutting-edge models from OpenAI (Dall-e2) to develop advanced AI solutions. • Utilized AWS Bedrock models, including Stability Diffusion Models, for text-to-image generation. • Designed Flask and Django applications integrated with Text-To-Image Bots, offering user-friendly interfaces for Image Generation and Natural Language Processing. • Collaborated with teams to integrate Llama, GPT-3, and AWS Bedrock models into comprehensive AI solutions, leveraging Python, ML libraries, and SQL for seamless integration and deploying on AWS EC2 for optimized performance.
• Utilized advanced Data Extraction techniques at NFCL to gather diverse data sets (Supply Chain, Financial, and Sales Data). • Employed Tableau for complex Data Visualizations, BI Dashboards, and Interactive Reports, offering detailed insights. • Led the integration of Machine Learning Models, including Regression Algorithms and Time Series Analysis, for accurate sales forecasting. Implemented Data Preprocessing Pipelines, Feature Engineering, and Model Training to optimize predictions.