Singarapu Abhinav

Experience

• 

  Cyient

  Apr 2018 - Mar 2021

  Data Analyst

  •Developed interactive dashboards using Power BI and Tableau to visualize key business metrics such as sales performance and customer behavior, enabling stakeholders to make data-driven decisions.•Implemented row-level security (RLS) in Power BI to restrict data access based on user roles, ensuring compliance with organizational security policies.•Automated the refresh of datasets in Power BI Service using scheduled gateways, ensuring up-to-date reporting for end-users. •Conducted exploratory data analysis (EDA) to identify trends, patterns, and anomalies in sales and operational data, delivering actionable insights that supported strategic business initiatives. Show less

• 

  Citi

  Apr 2021 - Jul 2022

  Data Engineer

  •Implemented advanced SQL queries and performance tuning techniques to ensure optimal performance of data processing pipelines and reporting workflows in Power BI.•Designed robust Power BI dashboards for real-time data visualization, combining data from SQL Server, Azure Blob Storage, and Oracle databases, meeting business stakeholder requirements.•Designed and implemented semantic data models to create a unified layer for business reporting, enabling consistent and accurate analysis across enterprise data sources, including Oracle databases.•Developed advanced semantic modeling for OLAP-based analytics, optimizing Oracle data structures to improve query performance and ensure scalability for large datasets. Show less

• 

  Uber

  May 2023 - Dec 2023

  Cloud Engineer

  Implemented automated testing frameworks and tools to ensure high-quality software releases. Employed Test-Driven Development (TDD) practices to align tests with business requirements.Designed and Implemented Hadoop-based data architectures to store and process large datasets, enhancing data accessibility and analytics capabilities across the organization.Developed scalable ETL processes using Apache Hadoop, leveraging Spark and Hive for data transformation and analysis of structured and unstructured data. Show less

• 

  Verizon

  Jan 2024 - now

  Data Engineer

  •Built end-to-end data pipelines for ingesting, transforming, and managing structured, semi-structured, and unstructured data within a unified Lakehouse architecture.•Integrated data from disparate sources, such as SQL, NoSQL, APIs, and cloud platforms, enabling unified analytics and reporting solutions for business stakeholders.•Implemented PySpark Streaming solutions for real-time data processing, enabling the ingestion and analysis of streaming data from various sources such as Kafka and Flume.•Used Agile tools and techniques to track progress, manage risks, and ensure timely delivery of high-quality products Show less