Aravind Kongala

About Aravind Kongala

I am an Azure Data Engineer with 4+ years of experience designing, building, and optimizing scalable, cloud-native data pipelines for enterprise analytics.I specialize in Azure Data Factory and Azure Databricks, where I design end-to-end ETL/ELT workflows, automate data ingestion, and enable reliable data integration across multiple structured and semi-structured sources. My work focuses on building high-performance, fault-tolerant pipelines that support both batch and near real-time processing.With strong hands-on expertise in Apache Spark (PySpark) and Delta Lake, I transform large-scale raw data into trusted, analytics-ready datasets. I place a strong emphasis on data quality, performance optimization, security, and governance, ensuring solutions align with enterprise standards and compliance requirements.I work closely with business stakeholders, analysts, and cross-functional engineering teams to translate business requirements into robust technical solutions. Known for a detail-oriented and problem-solving mindset, I have contributed to data modernization initiatives and measurable pipeline efficiency improvements.I am passionate about continuous learning in data engineering, cloud platforms, and big data technologies, and I enjoy building solutions that turn data into real business value. Core Focus Areas:Azure Data Factory | Databricks | PySpark | Delta Lake | Azure Synapse | Data Modeling | Performance Optimization Contact: a••••••••@gmail.comLet’s connect to discuss data engineering, cloud analytics, or scalable data solutions.

Experience

1. Azure Data Engineer

   Tata Consultancy Services

   Dec 2021 — Present · Hyderabad, IN

   Designed and implemented end-to-end ETL/ELT pipelines using Azure Data Factory (ADF), integrating on-premises and cloud data sources with high availability.• Processed and transformed large-scale datasets using Azure Databricks (PySpark) for scalable, high-performance data processing.• Built and optimized analytics solutions in Azure Synapse Analytics to support near real-time reporting and enterprise analytics.• Automated CI/CD pipelines for data workflows using Azure DevOps, improving deployment efficiency and reliability.• Improved data transformation performance by ~30% by optimizing ADF Mapping Data Flows.• Monitored and tuned pipelines using Azure Monitor and Log Analytics, reducing failures and downtime by ~25%.• Designed dimensional data models to enable efficient BI reporting in Power BI.

Education

• Jawaharlal Nehru Technological University Hyderabad (JNTUH)

  Bachelor of Technology - BTech, Electronics and Communications Engineering