Anusha Patcha

Anusha Patcha

Assistant system engineer (Data Engineer role)

Followers of Anusha Patcha659 followers
location of Anusha PatchaNewark, Delaware, United States

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  • Timeline

  • About me

    Data Engineer | Data Analyst | Python, SQL, Power BI, Tableau | 3+ Years in Data Analytics & Process Optimization | ETL Pipelines | Cloud (AWS/Azure) | Passionate About Data-Driven Solutions

  • Education

    • Bapatla Engineering College

      2017 - 2021
      B.tech Electrical and Electronics Engineering
    • University of Delaware

      2023 - 2025
      Master's degree Business analytics and information management
  • Experience

    • Tata Consultancy Services

      Oct 2021 - Jul 2023
      Assistant system engineer (Data Engineer role)

      • Optimized HCM and benefits modules for a US-based client (Paycor) by streamlining SQL-driven workflows, improving stakeholder alignment by 25% and system performance by 20%.• Supported ETL pipelines, data reporting, and dashboard development using SQL, Excel, Power BI, and Azure Synapse, increasing reporting efficiency by 30% for 50K+ end users.• Coordinated UAT testing, defect tracking in JIRA, and Agile delivery while contributing to cloud modernization discussions with AWS Glue, Azure, and Snowflake, ensuring future scalability.• Strengthened data management knowledge by collaborating on projects leveraging Hadoop, Hive, Spark, Kafka, and MapReduce, laying groundwork for modern data pipeline architectures. Show less

    • Versogen

      Jun 2024 - now
      Data Engineer / Business Analyst Intern

      • Led business process mapping with Visio, identifying automation and ETL opportunities that reduced manual bottlenecks by 25% and improved efficiency by 20%.• Automated production tasks using Python, SQL, and Pandas, cutting task time by 30%, and integrated data from Excel and barcode systems, enhancing reporting accuracy by 20%.• Designed dynamic Power BI dashboards from SQL and Excel sources, accelerating decision-making by 35%, and contributed to cloud migration discussions leveraging AWS, Azure, and Snowflake concepts.• Supported data quality efforts with SQL preprocessing and ensured scalable system upgrades by aligning business requirements with cloud-native data solutions and Azure Data Factory strategies."Continued internship from April 2025, transitioning into a Data Engineering role with a focus on ETL pipeline development, data modeling, and optimizing data workflows" Show less

  • Licenses & Certifications