Nadiya Syed

About Nadiya Syed

Bachelor of Technology in Computer Science and Engineering with experience as a Full Stack Developer at Accenture, specializing in Agile development, server-side technologies, and cloud-based data integration. Led the migration of a critical Java based ETL jar pipeline from Oracle to Google BigQuery, achieving a 96.9% reduction in data loading time and driving efficiency in enterprise data workflows.Proficient in Core Java, Spring Boot, HTML, CSS, JavaScript, with expertise in the MERN stack. Skilled in database migrations, ETL processes, and performance optimization, including HikariCP connection pooling, CTE-driven SQL, indexes, and materialized views. Experienced in deploying applications across development, staging, and production environments and integrating cloud-based databases like GCP BigQuery, PostgreSQL, and Oracle.Passionate about delivering high-impact solutions, modernizing legacy systems, and optimizing both batch and web applications. Dedicated to continuous learning, innovation, and contributing to environments that value growth, scalability, and technological excellence.

Experience

1. Full Stack Developer

   Accenture

   Oct 2024 — Present · Bengaluru, IN

   Full Stack Developer working with Java, Spring Framework, Struts Framework, GCP, GitHub, Jenkins, Big Query, PostgreSQL, Oracle, API, Junit, Gradle, Jira, IBM Websphere Liberty server, Redhat Openshift, JFrog, SOLID principles, Agile Methodology.Transitioned from Data Engineering to Java Backend, nurturing and leveraging hands-on data experience while contributing to enterprise-scale batch and web applications.Current Project :– Modernized a legacy, tightly coupled ATD framework, leveraging clean code principles, layered architecture, and POJO-based design, while working within ATD-managed transaction boundaries.– Repointed backend integrations to PostgreSQL and BigQuery based on transaction type and workload characteristics;– Improved application performance by implementing HikariCP for efficient JDBC connection pooling and optimizing query execution using database indexes and materialized views.– Optimized bulk data loads in PostgreSQL by evaluating temp tables and CSV-based strategies and finalizing on the COPY command for high-throughput inserts.– Deployed applications across lower to production environments, ensuring smooth releases and integration, while collaborating with DevOps teams for setup and environment configurations.– Strengthened production readiness with robust exception handling, structured logging, and secure credential management using GCP Vault.Previous Project : – Optimized a Java-based ETL JAR during a Teradata to BigQuery migration (Oracle source) by re-architecting OLTP-style INSERT+UPDATE logic into a single CTE-based INSERT-SELECT aligned with BigQuery’s OLAP model, reducing 1 lakh record processing time from ~8+ hours to ~15 minutes achieving ~96.9% efficiency while lowering BigQuery data-scan costs and streamlining the ETL pipeline.

Education

• Coding Ninjas

  Full Stack Development

• LearnYard

  100% Job ready DSA course, Data Structures and Algorithms

• MADANAPALLE INSTITUTE OF TECHNOLOGY & SCIENCE

  Bachelor of Technology - BTech, Computer Science and Engineering

  2019 — 2023

• Bharathi Junior College

  Intermediate, MPC