Nithya B
MS in Business Analytics | Data Engineer | Azure Certified | Streaming & Data Pipeline Specialist | Informatica | Python | Databricks | ADF | SQL Expert
- Role
- Sr Developer at American Airlines
- Location
- Dallas-Fort Worth, TX, US
- LinkedIn followers
- 500 followers
About Nithya B
8+ years of collective IT expertise, designing and implementing large-scale distributed systems employing various methods. in Cloud (Azure, AWS) Data warehousing, Data engineering, Hadoop big data, ETL/ELT, and Business Intelligence. As a Cloud data architect and engineer, I specialize in Hadoop Ecosystem, Spark/PySpark/Scala, Data bricks, Hive, Redshift, Snowflake, relational databases, tools like PowerBi, Tableau, Airflow, DBT, Presto/Athena, DevOps Frameworks/Pipelines Programming skills in Python, SQL and Unix
Experience
Sr Developer
Jun 2023 — Present · Fort Worth, TX, US
Data Pipeline Development: • Build and optimize ETL/ELT pipelines using Informatica for structured and unstructured data integration. • Implement Change Data Capture (CDC) processes to handle real-time data synchronization.Cloud Engineering: • Work extensively with Azure Data Factory (ADF) for orchestration and scheduling of data workflows. • Use Azure DevOps to manage CI/CD pipelines for seamless deployment and code integration.Streaming Applications: • Develop and maintain real-time streaming applications using Striim to handle large-scale data ingestion and processing.Big Data Solutions: • Leverage Databricks and PySpark for large-scale data transformations, advanced analytics, and machine learning workloads.Database Management: • Manage operational databases using MongoDB, ensuring high performance and data consistency. • Design and implement purging and data archival strategies for MongoDB and Azure Data Lake Storage (ADLS).Collaboration & Support: • Provide production support for critical systems, ensuring minimal downtime and quick issue resolution. • Collaborate with cross-functional teams to deliver data-driven insights and reports.Performance Optimization: • Monitor and optimize the performance of ETL/ELT pipelines and database queries. • Troubleshoot and resolve issues related to data accuracy, processing, and delivery.Tool Proficiency: • Skilled in Python and SQL for data manipulation, analytics, and script automation. • Proficient in Unix environments for task automation and script execution.
Education
University of North Texas
Master's degree, Business Analystics
Anna University Chennai
Bachelor's degree, Computer Science
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