Shraddha Mahajan
Technology Analyst @Infosys
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WORK HISTORY
Technology Analyst @Infosys
Pune, IN
EDUCATION
St. Vincent Pallotti College of Engineering & Technology
Bachelor of Engineering - BE, Electronics and Telecommunication
ABOUT SHRADDHA MAHAJAN
Data Engineering | Azure Cloud | Big Data | ETL | PySpark | Azure Databricks | Data Warehousing.Dynamic and results-driven Data Engineer with extensive experience in designing, developing, and optimizing large-scale data pipelines and analytics solutions using Azure Cloud, PySpark and Azure Databricks. Proficient in building robust ETL/ELT processes, architecting data warehouses, and leveraging big data technologies to drive actionable insights and business value. Key Expertise:Azure Cloud Ecosystem: Deep expertise in Azure services including Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake, and Azure SQL Database for scalable, secure, and high-performance data solutions-Big Data & PySpark: Skilled in processing and transforming massive datasets using PySpark for distributed computing, ensuring optimized performance and scalability.ETL/ELT Pipelines: Designed and implemented end-to-end ETL workflows using Azure Data Factory and custom scripts, enabling seamless data integration and transformation across diverse sources.Azure Databricks: Leveraged Databricks for advanced analytics, machine learning pipelines, and real-time data processing, integrating with Delta Lake for reliable data lakes.Data Governance & Optimization: Ensured data quality, security, and compliance through best practices in data governance, metadata management, and performance tuning. Key Achievements- Successfully designed and deployed a cloud-native data platform on Azure, reducing data processing time by 40% and enabling real-time analytics for a Fortune 500 client- Built scalable ETL pipelines with Azure Data Factory and PySpark, handling petabyte-scale datasets and integrating data from disparate sources like SQL, NoSQL, and APIs- Optimized data warehouse performance using partitioning, indexing, and query optimization, improving report generation speed by 30%. Technical Skills:Languages & Frameworks: PySpark, Python, SQL, ScalaAzure Services: Azure Databricks, Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure SQL, Azure Blob StorageBig Data Tools: Apache Spark, Hadoop, KafkaDevOps & CI/CD: Azure DevOps, Git, DockerVisualization & BI: Power BI, TableauOther: Data Governance, Performance Tuning, Delta Lake, REST APIs Passionate about transforming raw data into actionable insights and building scalable data architectures that empower organizations to make data-driven decisions. Always eager to tackle complex challenges and stay at the forefront of cloud and big data innovations.
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