• I am having around 6+ years of Data Engineering expertise in IT industry. • Designs and implements data pipelines , Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies as part of data ingestions. • Implement database and model designs and segmentation techniques. • Participate in end-to-end delivery of technical projects involving design and development of data pipelines involving complex datasets. • Create and maintain an optimal data pipeline architecture. • Assemble large, complex data sets that meet functional / non-functional business requirements. • Develop and deploy monitoring, logging, and alerting strategies to ensure the availability and performance of pipelines • Advocate and educate engineering team members on data modeling rules, standards, and best practices • Exposure to SQL, , Python, shell scripting, Scala, Hadoop, Hive, Pyspark, GCP (bigquery, Compute Engine, Cloud functions, App Engine, Kubernetes). • Coordinate with system vendors to resolve issues in a timely manner. • Ensure 24/7 system availability and manage critical incidents; troubleshoot issues to full resolution and provide detailed updates to management.