Tejus Vivek
Azure Data Engineer at Ford Motor Company
Based in Canada
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Seniority
Staff
Department
Information Technology
Location
Canada
Industry
Motor Vehicle Manufacturing
Company size
153K
Contact information
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t•••••••@ford.com
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Background
About Tejus Vivek
Overall, 3 years as an Azure Data Engineer in architecting and implementing end-to-end data solutions on the Azure platform and successfully designed and executed robust data architectures, consistently optimizing system performance and scalability, that proven track record of driving innovation and achieving business objectives through strategic data engineering initiatives • Solid understanding of Azure services, including Azure Data Factory, Azure SQL Database, Azure Databricks, and Azure Synapse Analytics • Proven track record in designing scalable data warehousing solutions using Azure Synapse Analytics, enhancing p0query performance, experienced in leveraging the full capabilities of this cloud-based analytics service to empower data-driven decision-making and streamline business intelligence processes • Integrated Azure Databricks into the existing infrastructure to optimize machine learning workflows, through meticulous tuning and enhancement of the analytics pipeline, successfully achieved a substantial increase in predictive analytics accuracy • Proficient in Snowflake data platform, adept at designing and optimizing data warehouses, implementing ETL processes, and leveraging advanced analytics functionalities to drive actionable insights for decision-making • Skilled in Azure SQL Database performance, achieving a 30% reduction in query response time through effective index tuning and query optimization, enhancing overall system efficiency and data retrieval processes • Optimized global data distribution and application responsiveness by successfully integrating Azure Cosmos DB, implementing partitioning strategies that reduced read latency and improved query performance. • Enhanced big data processing efficiency by leading the deployment of Azure HDInsight, leveraging Hadoop and Spark clusters to significantly reduce processing time for large-scale datasets, improving overall data analytics capabilities. • Handson experience in Jira and Confluence to streamline project management and collaboration processes, enhancing team productivity and ensuring effective communication and documentation within Agile development environments • Exhibits excellent communication and collaboration skills, facilitating effective interactions with developers, stakeholders, and IT teams to align technical solutions with business needs
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