Bhavana S.

• Designed and optimized custom SQL queries in BigQuery to process raw GA4 and Firebase event data, enabling real-time dashboards and actionable insights for marketing and product teams.
• Developed and maintained end-to-end ELT pipelines to ingest and transform data from cloud storage (GCP/AWS S3), Firebase, and on-prem SQL sources into BigQuery for analytics and reporting.
• Automated data cleaning, standardization, and enrichment workflows using Python and SQL, delivering trusted, high-quality data models for downstream analytics teams.
• Collaborated with cross-functional stakeholders to translate business questions into scalable Looker dashboards, leveraging custom dimensions and derived tables from BigQuery.

• Implementerede automatisering af datastreaming med Azure Data Factory, hvilket øgede operationel effektivitet med 40% for tidsfølsomme rapporter.
• Deltog aktivt i ydeevneoptimering og optimering af Azure Databricks-jobs, forbedrede ressourceudnyttelsen og reducerede behandlingstiden.
• Oprettede Azure Databricks-notebooks ved hjælp af Python, Spark, PySpark og SQL for at udføre datatransformationer, dataintegration og modellering på store og komplekse datasæt.

• Konstruerede skalerbare og effektive ETL/ELT-datapipelines for dataudvinding, transformation og indlæsning ved hjælp af Azure-tjenester til databehandling og lagring.
• Bidrog til ETL-batch- og strømbehandlingsjobs i Azure Databricks, der transformerede og indlæste data i forskellige dataczoner.
• Automatiserede gentagne databehandlingsopgaver, hvilket opnåede en reduktion på 45% i manuel arbejdsbyrde og reducerede menneskelige fejl.
• Udførte datatransformations- og renseoperationer for at opretholde dataenes nøjagtighed og kvalitetsstandarder.

• Implementerede dataintegrationer og valideringskontroller i SQL og Microsoft Azure Synapse Analytics for at sikre en glat dataindtagning og flow.
• Byggede en realtids databehandlingspipeline, der gjorde det muligt at få rettidige indsigter i kundeadfærd og markedstendenser.
• Optimerede batchdataarbejdsgange for en førende e-handelsplatform, hvilket sikrede tilgængelighed af kritiske forretningsmålinger og KPI'er hver halve time, hvilket styrkede beslutningstagning i realtid.
• Samarbejdede tæt med tværfunktionelle teams for at indsamle krav, designe robuste dataløsninger og give værdifulde indsigter til organisatoriske interessenter.

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 specific 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 the 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 and limited escalations to 2nd line and 3rd line support teams.
• Deploy changes made using GIT and working on the code conflicts.