Riyaazuddin Shaik

About Riyaazuddin Shaik

With a passion for Data Engineering and Artificial Intelligence, I have had the privilege of contributing to several remarkable projects. As an experienced IT professional with around 8 years of expertise, I specialize in developing scalable solutions that meet customer needs. My skills encompass requirements gathering, business impact analysis, software development, testing, quality and productivity improvement, and enhancing the technology landscape—specifically with a strong focus on Data Engineering in cloud environments.I have worked across multiple industries, including Automobile, Manufacturing, Retail, and E-commerce, which has strengthened my analytical and problem-solving skills in real-world scenarios. I have gained in-depth knowledge of data-driven technologies and continuously strive to optimize solutions for better outcomes.Key Highlights:Extensive experience in Data Engineering, including tool development, product development, framework development, and pipeline design.Strong expertise in cloud technologies such as AWS, Azure, and GCP, optimizing data-driven solutions for performance, scalability, and reliability.Proven ability to drive continuous quality improvement and streamline development processes for enhanced productivity.Previously worked as a Specialist Programmer (Power Programmer) at Infosys, contributing to high-impact projects and advanced technology solutions.Previously worked as a Senior Associate Data Engineering at The Math Company, where I played a pivotal role in the data engineering aspect of a cutting-edge in-house AI product, Co.dx.Passionate about mentoring and coaching individuals in Python,Data Engineering on cloud and SQL development, watching them grow and succeed in the industry

Experience

1. Ecommerce Lead Data Engineer

   PepsiCo

   Jun 2023 — Present · Hyderabad, IN

   Led AWS to Azure migration, enhancing performance with minimal operational disruption by 30%. • Built unified data pipelines, integrating multiple cloud sources for standardized, efficient ingestion. • Improved data quality by 100% using DBT for robust transformations, delivering trusted analytics datasets. • Implemented data validations with Great Expectations, integrating Slack alerts for real-time issue resolution. • Automated orchestration with Apache Airflow, boosting efficiency by 70% and reducing manual interventions. • Leveraged Snowflake architecture for scalable, cost-efficient analytics and reporting. • Engineered end-to-end pipelines with Airflow to ingest data from APIs, cloud storage, and files into Snowflake for sales, finance, and marketing analytics. • Developed reusable utilities that cut deployment cycles by 30% and simplified recurring tasks. • Implemented Monte Carlo for automated data quality monitoring, enhancing reliability across pipelines. • Designed scalable Data Vault and Business Vault models, ensuring auditability and enterprise alignment. • Automated web scraping with Playwright, extracting structured data for competitive intelligence. • Boosted sales performance through real-time automation with Airflow, increasing revenue generation.

Education

• New kakatiya junior college

  12th, Junior High/Intermediate/Middle School Education and Teaching

  2010 — 2012

• Muffakham Jah College of Engineering & Technology

  Bachelor of Engineering - BE, Computer Science

  2013 — 2017

• Adarsha high school

  10th

  2002 — 2010