Sai Karthik R

About Sai Karthik R

I\'ve been rocking the Data Engineer scene for a solid 8+ years all about crafting, building, and cranking up the performance of data systems. You\'ll find me coding away in Python, R, SQL, Scala, PySpark, and Spark SQL, and I\'m pretty sharp when it comes to Snow SQL for some complex data tasks. When it comes to cloud stuff, I\'ve got game, with plenty of experience on Azure—think Data Lake, Data Factory, Databricks, SQL Database, and SQL Data Warehouse. Plus, I\'ve tinkered with a bunch of AWS goodies including EMR, EC2, S3, Redshift, Glue, Athena, Lambda, IAM, DynamoDB, CloudFront, CloudWatch, Kinesis, SQS, and SNS.I\'ve gotten pretty good at using Apache Spark tech Spark SQL, Spark Streaming, Spark ML, and working with Spark DataFrames to handle big chunks of data with ease. Also, I know my way around analytics stuff and libraries too, like Tableau, Power BI, Tableau Prep, QuickSight Excel with some VBA magic, Snowflake, NumPy, Pandas, Scikit-learn, Matplotlib, Seaborn, and even PyTorch. Dealing with databases? No problem! I\'ve tackled HBase Oracle, SQL Server MySQL, and DynamoDB. Plus, I’m not a stranger to tools such as Apache Airflow, and I\'ve got skills in Git and GitHub as well while dabbling in frameworks for Machine Learning and Deep Learning.I\'ve got skills in making and tuning up data pipelines with Databricks and PySpark. I\'ve also improved how we keep data and look things up using Snowflake. Monitoring when pipelines go kaput with Azure Data Factory is something I do, and I keep track of what\'s happening by saving logs in Azure SQL Database. To stay in the know, I set up alerts with Azure Logic Apps. Designing OLAP cubes and making ETL tasks automatic with SSIS/SSRS packages is part of what I\'ve done. Plus, I\'ve put together auto-fill orders and info boards using AWS Kinesis, IoT, Snowpark, and Snowflake.I\'m good at using data warehouse techniques. I use the Kimball method to create star schemas. This boosts how fast queries run and makes things easier for folks who need the info. I\'ve got skills in making and handling tricky data movements with Apache NiFi, which lets us handle data right as it comes in. I\'m also savvy with grabbing data on-the-fly from POS setups through AWS Glue and PySpark. I\'ve dug into version control systems and making CI/CD pipelines tick using Git and GitLab. Pulling strings in orchestrating data workflows, I\'ve handled DBT within Snowflake and gotten my hands dirty automating data chores with Airflow and Snowflake jobs.

Experience

1. Senior Data Engineer

   Knackhook

   Nov 2025 — Present · Seattle, WA, US

Education

• University at Buffalo

  Master's Degree, Computer and Information Sciences, General