Vivek Dudam

Azure Data Engineer | Data Warehouse Engineer | ETL/ELT Expert | Azure Data Factory | Azure data Lake Storage gen 2 | Azure Synapse Analytics | Databricks | Snowflake | Big Data | Python | SQL.

Role
Azure Data Engineer at Lazydays
Location
Chicago, IL, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Vivek Dudam

Contact:+13•••••••53Email - v••••••••@gmail.comWith over 11+years of experience as a Senior Azure Data Engineer, I specialize in architecting and implementing scalable data solutions that drive strategic business outcomes. My expertise spans the entire Azure data ecosystem, including Azure Synapse Analytics, Azure Databricks, Azure Data Factory, and Azure Data Lake Storage Gen2.Key Competencies:Azure Cloud Solutions: Proficient in designing and optimizing end-to-end data pipelines using Azure services, ensuring high performance and data integrity.Data Warehouse Architecture: Experienced in implementing robust data warehouse solutions using dimensional modeling techniques like Star and Snowflake schemas.ETL/ELT Processes: Skilled in developing efficient data integration workflows using Azure Data Factory, Snowflake Databricks, and Python for complex transformations.Big Data Technologies: Hands-on experience with Hadoop ecosystem tools, Apache Spark, and NoSQL databases like Cosmos DB and Cassandra.Data Modeling & Optimization: Expertise in optimizing data models and query performance in Azure SQL Database and Azure Synapse Analytics.Snowflake\'s cloud data platform : Design and implement scalable data warehousing solutions. Proficient in optimizing query performance, implementing data governance practices, and utilizing Snowflake\'s unique features such as Time Travel and Zero-Copy Cloning to enhance data management and analytics capabilities for enterprise-level projects.Real-time Data Processing: Implemented streaming solutions using Azure Event Hubs and Stream Analytics for immediate data analysis.Data Governance & Security: Implemented comprehensive data governance frameworks using Azure Purview and robust security measures with Azure Active Directory.Visualization & Reporting: Proficient in creating interactive dashboards and reports using Power BI and Tableau.I\'m passionate about leveraging cutting-edge technologies to solve complex data challenges and drive data-driven decision-making. Let\'s connect to discuss how I can help your organization unlock the full potential of its data assets.#AzureDataEngineer #DataWarehouse #ETL #BigData #DataAnalytics #CloudComputing #AzureSynapse #Databricks #DataFactory #PySpark #SQL #PowerBI #DataGovernance #DataModeling #StreamAnalytics #NoSQL #Hadoop #DataPipelines #DataIntegration #AzureAD #DataSecurity #BusinessIntelligence

Experience

  1. Azure Data Engineer

    Lazydays

    Jun 2025 — Present · Seffner, FL, US

    At Lazydays RV, one of the largest RV dealership networks in the U.S, I delivered secure, scalable, and optimized data solutions using Azure. In Azure Data Factory (ADF), I built ETL/ELT pipelines with Copy Data, Mapping Data Flows, Lookup, ForEach, Conditional activities, scheduled triggers, and event triggers, implementing incremental loads with CDC and watermarking to reduce execution time. In Azure Data Lake Storage Gen2 (ADLS), I implemented a medallion architecture (Bronze, Silver, Gold layers) with RBAC, ACLs, hierarchical namespaces, partitioning, compaction, and lifecycle policies for governance and performance. In Azure Databricks, I developed PySpark pipelines for explodes, pivots, joins, window functions, deduplication, surrogate key generation, and SCD Type 2 handling, leveraging Delta Lake ACID transactions, schema evolution, Z-Ordering, Optimize, Vacuum, and Delta Live Tables (DLT) to process batch and streaming workloads. I integrated Azure SQL Managed Instance (MI) with ADF and Databricks using private endpoints, VNet gateways, and linked services, enabling CDC ingestion, bulk copy, stored procedures, and schema validation. In Azure Synapse Analytics, I developed pipelines with PolyBase, external tables, dedicated SQL pools, columnstore indexes, distribution keys, materialized views, and workload groups, improving query performance by 25–30%. In Power BI, I engineered semantic models with DirectQuery, Import, hybrid storage, RLS, OLS, incremental refresh, DAX measures, KPIs, and hierarchies, delivering dashboards for sales, service, finance, and executives. I enforced security with AAD, Key Vault, RBAC, monitored pipelines with Azure Monitor, Application Insights, Logic Apps, and managed deployments with Git, Azure Repos, and Azure DevOps CI/CD. This unified platform reduced runtimes by 30%, improved analytics by 25%, and delivered real-time dashboards that strengthened operations, customer engagement, and financial reporting.

Education

  • University of Memphis

    Master's degree, Computer Science

  • Guru Nanak Institutions(GNI)

    Bachelor's degree, Information Technology

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Vivek Dudam — Azure Data Engineer at Lazydays in Chicago, IL, US | Unifers