Saicharan S

About Saicharan S

Hi, I’m Sai Charan (Sid), a Data Engineer with an entrepreneurial mindset and a Master’s in Data Science from the University of North Texas. My journey into data began in 2018 when I started running Shopify stores, experimenting with user behavior analytics, automation, and optimization. What began as an entrepreneurial hustle soon grew into a passion for data-driven problem solving and scalable systems. Today, I’m passionate about building cloud-native data pipelines, AI-powered platforms, and intelligent automation that transform raw data into business value.🧠 I’m currently exploring AI-integrated data engineering and working on fine-tuning large language models through projects like an AI-Driven Financial Insights Generator, a system that analyzes real time financial data and market sentiment using FinBERT and LLaMA-3. I love solving complex challenges with modern tools like Python, PySpark, Snowflake, Databricks, Airflow, and AWS, and I’m deeply curious about how AI and LLMs can reshape the future of data infrastructure. Based in California, I thrive at the intersection of data, technology, and innovation. Always striving to build solutions that make real-world impact.🤝 Always open to connecting, collaborating, and learning from fellow professionals in data engineering, analytics, and AI/ML.Let’s connect and build something remarkable together!

Experience

1. Data Platform Engineer

   Shopify

   Jan 2025 — Present · US

   Scaled Shopify’s data platform to process 10+ TB/day across AWS Glue, EMR, and Redshift, boosting data reliability SLA to 99.97% and powering downstream ML and analytics pipelines.• Re-engineered ETL frameworks using PySpark and Airflow, improving pipeline throughput by 45% and reducing batch latency from 2 hours to under 50 minutes.• Planned a governed Data Lakehouse on Snowflake, integrating Kafka streams, transactional data, and Shopify APIs with full lineage, schema evolution, and cost-efficient query execution.• Built CI/CD and infrastructure-as-code workflows with Terraform, GitHub Actions, and dbt Cloud, automating deployments and improving environment consistency by 60%.• Partnered with analytics and ML teams to define shared feature stores and semantic data models, accelerating model deployment cycles by 30% and eliminating redundant compute workloads.

Education

• CVR College of Engineering, Hyderabad

  BTech - Bachelor of Technology

• University of North Texas

  Master of Science - MS