Senior Data Engineer with 5 years of experience across analytics, data engineering, and data governance in UK and international enterprise environments. Proven expertise in designing and optimising cloud-native ETL/ELT pipelines, lakehouse architectures, and distributed Spark workloads processing multi-terabyte datasets. Strong hands-on experience with Azure Databricks, Azure Data Factory, PySpark, SQL, Delta Lake, and cloud data platforms (Azure & AWS). Experienced in dimensional data modelling, real-time streaming, CI/CD automation, and data quality frameworks, with a solid foundation in GDPR-compliant data governance and data stewardship. Combines analytical insight with engineering execution to deliver scalable, reliable, and cost-efficient data solutions for enterprise reporting and advanced analytics.

• 🖥️  See my portfolio at My Portfolio
• ✉️  You can contact me at ambatibhargav06@gmail.com
• 💡 I specialize in designing and building scalable data platforms using Microsoft Azure and modern data engineering technologies. My expertise includes developing robust ETL/ELT pipelines, optimizing data architectures, and implementing enterprise-grade data governance and quality frameworks.

🔧 Core Expertise: • Azure Data Factory (ADF) & Data Integration • Azure Databricks & Apache Spark • Data Lake & Lakehouse Architectures • Data Warehousing (Azure Synapse, SQL) • Data Governance & Data Quality Frameworks • Data Modeling & Data Pipeline Optimization • Power BI Data Visualization & Business Intelligence • Big Data Processing & Distributed Computing • Version Control (Git, GitHub) & CI/CD • Cloud Data Engineering & Scalable Data Solutions

• 🤝 I'm open to collaborating on Data Engineering, Azure Cloud, Databricks, and Data Platform projects focused on building scalable, high-quality, and governed data solutions.

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