Bhavya Tawri
Building Scalable Data Systems @Capgemini | Real-Time & Cloud Data Pipeline Expert | Apache Spark | Airflow | GCP | Python
- Role
- Data Engineer at Capgemini
- Location
- Jaipur, IN
- LinkedIn followers
- 500 followers
About Bhavya Tawri
As a Data Engineer, I specialise in building scalable, efficient, and cloud-native data…
Experience
Data Engineer
Apr 2025 — Present · Pune, IN
As a Data Engineer at Capgemini, I work on enterprise-level data projects focused on building resilient, scalable pipelines and automating cloud-native workflows for large clients in retail and BFSI domains- ETL Pipeline OptimizationDesigned and implemented batch ETL pipelines using Python and SQL, processing 200K+ records daily from transactional systems.Improved transformation logic, reducing data latency by 38% and improving downstream analytics freshness- Airflow Workflow AutomationDeveloped DAGs in Apache Airflow to automate pipeline scheduling, monitoring, and failure alerting.Reduced manual intervention by ~90%, enhancing pipeline reliability- Cloud Data Engineering (GCP)Leveraged Google BigQuery, Cloud Storage, and Cloud Functions to build cloud-native, cost-efficient pipelines.Integrated GCP billing optimisation to reduce storage costs by 15% for archival layers- Data Modelling & WarehousingModelled analytical tables using Star Schema to support BI dashboards and reporting teams.Collaborated with stakeholders to redesign warehouse tables for improved join performance and query speed- Streaming Data (In Progress)Currently working on integrating Apache Kafka for real-time data ingestion to support low-latency analytics use cases.
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