Naveen Kumar

Data Engineer

Houston, Texas, United States3 yrs 9 mos experience

Highly Stable

Key Highlights

Expert in Microsoft Fabric and Azure Data Engineering.
Led successful data migrations with zero data loss.
Optimized data pipelines, improving performance significantly.

Stackforce AI infers this person is a Data Engineering expert in SaaS environments with strong cloud architecture skills.

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Skills

Core Skills

Data EngineeringMicrosoft FabricCloud Data Solutions

Other Skills

AWS RedshiftAutomotiveAutomotive EngineeringAutomotive RepairAzure Data FactoryAzure Data LakeAzure DatabricksAzure Key VaultAzure Logic AppsAzure SQLAzure SynapseBig DataBig Data AnalyticsCloud InfrastructureData

About

With over 5 years of experience as an Azure Data Engineer, specializing in Microsoft Fabric, I have designed, implemented, and optimized data solutions within both Azure and AWS environments. My expertise includes data warehousing, ETL/ELT processes, and big data technologies, leveraging tools like Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, AWS Redshift, AWS Glue, and AWS S3. As a key user of Microsoft Fabric, I have designed and optimized data pipelines, built Lakehouse architectures, and leveraged Power BI for advanced analytics and reporting. I’ve utilized Microsoft Fabric's unified data platform to consolidate structured and unstructured data from multiple sources, empowering business teams to gain insights quickly and efficiently. I have led data migration projects from on-premises systems to Azure and AWS cloud environments, ensuring seamless data integration and zero data loss. I have significant hands-on experience in creating and managing real-time data processing solutions using Microsoft Fabric, AWS Glue, and Azure Databricks, while ensuring data security with tools like Azure Key Vault and AWS IAM. In addition, I have a strong background in building and managing data pipelines, integrating external data sources with Microsoft Fabric Shortcuts, and working with Azure Lakehouse and AWS S3 environments to ensure efficient and cost-effective data access and storage. I am passionate about leveraging Microsoft Fabric's capabilities to drive cloud-based innovation, scalable data architectures, and impactful data-driven insights for businesses.

Experience

3 yrs 9 mos

Total Experience

3 yrs 9 mos

Average Tenure

Current Experience

Express scripts by evernorth

Azure Data Engineer With MS Fabric

Jan 2024 – Present · 2 yrs 3 mos · Houston, Texas, United States · Remote

🔹 Architected & Implemented end-to-end Microsoft Fabric-based data solutions, enabling seamless Lakehouse architecture and real-time analytics.
🔹 Optimized Data Pipelines & Workflows, reducing runtimes by 30% and improving query performance by 40%.
🔹 Built a Unified Data Platform, consolidating structured & unstructured data for scalable analytics and efficient reporting.
🔹 Developed & Managed Semantic Models, enhancing report generation efficiency by 35% and reducing manual data efforts.
🔹 Enabled Real-Time Analytics with Microsoft Fabric & KQL, driving faster anomaly detection and insights via Power BI.
🔹 Implemented SQL Endpoints & Data Shortcuts, reducing data duplication by 50% and improving data access speeds by 30%.
🔹 Strengthened Data Governance & Security using Microsoft Purview, ensuring compliance and high-quality data delivery.
🔹 Enhanced System Performance & Reliability through query optimization, monitoring, and mirrored databases for fault tolerance.

Microsoft FabricLakehouse architectureData pipelinesReal-time analyticsData governancePower BI+1

Usaa

Data Engineer

Jul 2023 – Dec 2024 · 1 yr 5 mos · United States · Remote

🔹 Data Solution Architecture: Designed scalable solutions using Azure Synapse, Data Factory, SQL, and Data Lake.
🔹 Data Migration: Led migration of 10+ TB data to Azure with zero data loss.
🔹 ETL/ELT Development: Built and optimized pipelines for seamless data integration and transformation.
🔹 Big Data Analytics: Utilized Azure Databricks, PySpark, and Spark SQL for real-time analytics.
🔹 Security & Compliance: Ensured data security using Azure Key Vault and maintained compliance.
🔹 Performance Optimization: Reduced processing times by 50% through pipeline and query optimization.
🔹 Automation: Automated workflows and scheduling, improving efficiency by 30%.

Azure SynapseData FactorySQLData LakeETLBig Data Analytics+3

Aspire systems

Data Engineer

Mar 2019 – Dec 2022 · 3 yrs 9 mos · India · Remote

🔹 Data Solution Architecture: Designed and implemented scalable solutions using AWS Redshift, S3, Glue, and RDS.
🔹 Data Migration: Led seamless migration of data from on-premises to AWS cloud environments.
🔹 ETL/ELT Development: Built and optimized ETL pipelines using AWS Glue and Lambda for data processing.
🔹 Big Data Analytics: Utilized AWS EMR, Spark, and Athena for real-time data processing and analytics.
🔹 Data Security: Ensured data encryption and compliance with industry standards using IAM and KMS.
🔹 Performance Tuning: Optimized Redshift queries and data pipelines, reducing processing times and costs.
🔹 Automation & Monitoring: Automated data workflows and integrated AWS CloudWatch for real-time monitoring and alerts.

AWS RedshiftS3GlueRDSETLBig Data Analytics+3