👋 Welcome to my profile! I’m Sri Shalini Chintam, a Data Engineer focused on creating scalable, efficient data solutions. With experience in global tech environments like Amazon and fast-paced startups like Rubixe, I’m skilled in data pipeline engineering, cloud solutions, and analytics.💡 BackgroundI hold a Master’s in Computer Science from the University of Missouri-Kansas City, with expertise in cloud platforms, data engineering, and analytics. My goal is to design secure, effective data infrastructure that supports strategic decision-making.🔹 Technical SkillsProgramming & Libraries: Python, SQL, Pandas, PySparkDatabases: AWS S3, RDS, Redshift, Azure Synapse, Azure SQL Database, MySQL, MongoDBData Tools: Apache Kafka, Spark, Airflow, Docker, Kubernetes, Terraform, CI/CDCloud Services: Azure Data Factory, Databricks, Azure Event Hubs, Azure Blob StorageData Visualization: Power BI, TableauMethodologies: Agile, Scrum📜 CertificationsMicrosoft Certified: Azure Data FundamentalsMicrosoft Certified: Azure Data Engineer AssociateAWS Certified Cloud Practitioner🏢 Professional ExperienceAmazon: Developed a serverless data ingestion pipeline, reducing manual work by 75% and improving latency by 50% using AWS tools.Rubixe: Preprocessed and analyzed data with PySpark for customer segmentation, enhancing data processing efficiency.📚 ProjectsSpotify Data Pipeline: Built an ETL pipeline using AWS S3, Redshift, and Glue to track user engagement and song popularity.Sales Data Optimization: Optimized an ETL pipeline with Azure Data Factory and Power BI for faster sales reporting.Instagram Engagement Analysis: Developed a PostgreSQL schema for user engagement analysis, providing influencers with actionable insights.I’m excited about collaborating on data-driven projects and solving complex challenges. Let’s connect and explore how we can make data a strategic advantage together!#DataEngineering #AWS #Azure #ETL #DataPipelines #Python #SQL #MachineLearning #DataVisualization #ProblemSolving #CloudComputing #ScalableDataSolutions #PowerBI #ApacheSpark #Kubernetes #AgileDevelopment#Azure Databricks#Azure Data Factory#AWS S3#Tableau#AWS Kinesis#AWS Glue#AWS Quicksight