Deepthi V Email & Phone Number

Experienced Sr. Data Engineer with a proven track record in leading end-to-end data engineering projects through the SDLC. Adept at designing and implementing scalable solutions, orchestrating ETL workflows using AWS and Azure services, and optimizing databases. Skilled in managing big data clusters, deploying serverless architectures, and implementing event-driven systems. Expertise includes Python, AWS, Azure, Hadoop ecosystem, and data visualization tools. Proven ability in collaborating on Agile projects, ensuring efficient data workflows, and contributing to cross-functional teams. The tech stack spans cloud platforms, databases, ETL tools, CI/CD pipelines, and more. Additional skills include:Big Data Technologies: Apache Spark, Hadoop, Apache BeamData Warehousing: Amazon Redshift, SnowflakeCloud Platforms: Google Cloud Platform (GCP)Data Integration: Apache NiFi, TalendStreaming Data: Amazon Kinesis, Azure Stream Analytics, KafkaDatabase Management: MySQL, Oracle, MongoDB, CosmosDBDevOps Tools: Jenkins, Docker, Kubernetes, Terraform, AnsibleMonitoring and Analytics: AWS CloudWatch, Prometheus, GrafanaVersion Control: Git, GitHub, BitBucket, SVNCollaboration Tools: Jira, Confluence, SharePointPassionate about leveraging technology to drive data-driven decision-making. #DataEngineer #AWS #Azure #BigData #ETL #DataAnalytics