Canada
This is Chaitanya Teja , AWS Data Engineer with over 7+ years of expertise in IT specializing in AWS and Azure infrastructure alongside Big Data technologies. Proficient in Apache Spark, Hadoop ecosystem, and Python scripting, I have successfully designed and implemented scalable data pipelines to extract, transform, and load massive datasets for analysis. With expertise in AWS services such as Redshift, Glue, and S3, I have a proven track record of optimizing ETL processes and ensuring seamless data integration. Additionally, my experience extends to Azure services such as Azure Data Factory and Azure SQL Database, allowing for comprehensive cloud-based data processing and analytics solutions. My career highlights include developing AI-driven data quality frameworks, implementing advanced analytics solutions, and leveraging cloud-based platforms for data processing and analytics across both AWS and Azure environments. Passionate about leveraging data to drive business insights and innovation. With a focus on problem-solving and delivering tangible results, I am eager to contribute my expertise to a dynamic team of data engineers, working collaboratively to harness the power of data for strategic decision-making and business growth.