Bhavana S.

Data Engineer

Bhavana is a Data Engineer with over seven years of experience, focusing on data engineering for the past four years. She’s skilled in technologies like Azure Data Factory, Synapse Analytics, Databricks, Python, and SQL, transforming data and optimising processes.

What sets Bhavana apart is her ability to understand both the technical and business sides of projects, ensuring smooth communication with stakeholders.

A highlight of her career was automating data migration pipelines, cutting manual work by 40% and improving data reliability. She also helped modernise payment systems across 4,000 retail locations. Bhavana’s passion for learning and improving systems makes her a strong asset to any team.

Hovedekspertise
  • Azure Blob storage
    Azure Blob storage 4 år
  • NoSQL 2 år
  • Python
    Python 5 år
Andre kunnskaper
  • Java
    Java 2 år
  • PowerShell
    PowerShell 2 år
  • Apache Kafka
    Apache Kafka 2 år
Bhavana
Bhavana S.

United Kingdom

Kom i gang

Utvalgt opplevelse

Arbeidserfaring

  • Data Engineer

    Opply - 6 months

    • Opply is an e-commerce platform that connects mid - small range buyers and mid-small range suppliers of the food and beverage industry, automating ordering and stock management.
    • Implemented data flow automation with Azure Data Factory, increasing operational efficiency by 40% for time-sensitive reporting.
    • Actively engaged in the performance tuning and optimization of Azure Databricks jobs, optimizing resource utilization and reducing processing time.
    • Created Azure Databricks notebooks using Python, Spark, PySpark, and SQL for performing data transformations, ingestions, and modelling tasks on large and complex datasets.

    Teknologier:

    • Teknologier:
    • Azure Blob storage Azure Blob storage
    • Azure Data Factory Azure Data Factory
    • Azure Synapse Azure Synapse
  • Data Engineer

    Saks / HBC - 1 year 4 months

    • Saks Fifth Avenue or Saks , is a luxury fashion retailer offering high-end fashion and personalized customer services. I was part of customer and commerce team for the fashion and retail domain and Saks is a subsidiary of Hudson's Bay Company.
    • Constructed scalable and efficient ETL/ELT data pipelines for data extraction, transformation, and loading using Azure servicesdata processing and storage.
    • Contributed to ETL batch and stream processing Azure Databricks jobs, transforming and loading data into various data zones .
    • Automated repetitive data processing tasks leading to 45% reduction in manual workload and a decrease in human error.
    • Performed data transformation and cleaning operations to uphold data accuracy and quality standards.

    Teknologier:

    • Teknologier:
    • Azure Blob storage Azure Blob storage
    • Azure Data Factory Azure Data Factory
    • Azure Synapse Azure Synapse
    • Azure Web App Azure Web App
  • Data Engineer

    Dxc. Technology - 1 year 8 months

    • Dxc. Technology is a global IT services and consulting company that helps organizations navigating digital transformations.
    • Implemented data integrations and validation checks in SQL and Microsoft Azure's Synapse Analytics to ensure smooth data ingestion and flow.
    • Implemented a real-time data processing pipeline facilitating timely insights into customer behaviour and market trends.
    • Optimized batch data workflows for a leading e-commerce platform ensure sub-hourly availability of critical business metrics and KPIs, bolstering real-time decision-making abilities.
    • Collaborated closely with cross-functional teams to gather requirements, design robust data solutions, and provide valuable insights to organisational stakeholders.

    Teknologier:

    • Teknologier:
    • Azure Blob storage Azure Blob storage
    • Azure Data Factory Azure Data Factory
    • Azure Web App Azure Web App
  • Sr. Analyst

    DXC. Technology (Kroger) - 3 years 6 months

    • Kroger is a major American supermarket chain offering a wide range of groceries, pharmacy services and health products.
    • Designed and implemented multiple scripts to reduce manual interventions and to have standard reports for certain ID configurations. Created scripts/solutions for verification and automation (XID comparison, DIF status, close process). -Implemented several user stories related to scan bag go and click list, seasonal changes, and store closing procedures. Only people working on timely restrictions on different SKUs and festival changes from offshore.
    • Improved efficiencies by 50% by revising case management procedures and training employees on revisions. Managed escalated customer complaints through resolution utilizing cross-functional and global resources as required.
    • Created knowledge base resulting in increased 1st tier support call resolutions, resulting in limited escalations to 2nd line and 3rd line support teams.
    • Deployment of changes that were done using GIT and working on the conflicts of codes.

Utdannelse

  • MSc.Advanced Computer Science

    University of Exter · 2022 - 2023

  • BSc.Electrical and Electronics Engineering

    Jawaharlal Nehru Technological University · 2010 - 2014

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