8+ Years
Data engineering delivery across enterprise workloads
Vijaya Teja Rebbapragada (Teja)
Senior Azure Data Engineer | Fabric + Databricks Specialist
Resume profile: 8 years of end-to-end data engineering delivery across Azure data services, Microsoft Fabric, Azure Databricks, dbt, and enterprise SQL platforms.
Prolific in both Microsoft Fabric and Databricks, with repeated delivery of production-grade pipelines, transformation models, and governed analytics layers for enterprise teams.
Trusted to lead cross-functional delivery with business stakeholders, client teams, and engineering groups.
I focus on scalable architecture, reliable ELT design, and platform optimization that improves throughput, execution windows, and cloud efficiency without compromising governance.
Professional Summary
Cloud data engineer with strong experience in data integration, migration, and data engineering projects. I design and deploy scalable data platforms, implement metadata-driven ingestion and transformation frameworks, and optimize analytics systems for reliability and performance using strong Python and SQL engineering practices.
Proof of Impact
24h to 4h
Major batch window reduction through optimization
Fabric + Databricks
Delivered production-grade modernization and platform improvements across Fabric, Databricks, ADF, and SQL
Core Skills
Microsoft Fabric
Azure Databricks
Azure Data Factory
Azure Synapse
Azure SQL
SQL Performance Tuning
dbt
Python Engineering
Power BI
DAX
PySpark
Python (Advanced)
C#
PostgreSQL
BigQuery
Cloud Solution Architecture
Professional Experience
Senior Data Engineer | Enviri (formerly Harsco) India Private Limited
09/2023 - Present | Hyderabad, India
- Led dbt implementation to replace stored-procedure-heavy transformation logic with modular, testable, and maintainable analytics engineering models.
- Improved data quality and reporting trust by introducing testable dbt models, validation checks, and stronger release guardrails.
- Engineered Azure Function integrations to extract REST API metrics and deliver trusted datasets for Power BI reporting.
- Delivered multiple enhancements to the metadata-driven ADF extract framework, improving reliability, maintainability, and onboarding speed for new data sources.
- Executed Azure Databricks proof-of-concept (PoC) and validated modernization patterns for scalable transformation and compute optimization.
- Applied lakehouse-aligned engineering patterns across Fabric and Databricks to improve model reusability, governance, and analytics consistency.
- Reduced end-to-end transformation runtime from 7 hours to 2.5 hours after dbt migration through model tuning and orchestration optimization.
- Implemented indexing, query tuning, and workload optimization strategies that accelerated batch and transformation performance across Azure SQL, Databricks, and Fabric pipelines.
- Implemented cost optimization improvements across data extraction and transformation workflows by refining orchestration and compute usage patterns.
- Strengthened platform observability by improving pipeline logging, failure diagnostics, and remediation playbooks for faster incident turnaround.
- Partnered with analytics and reporting stakeholders to prioritize high-impact model changes and improve trust in dashboard outputs.
- Proactively identified delivery and platform risks early, then remediated bottlenecks before they escalated into production incidents.
- Served as a key technical owner for requirement translation, sprint execution, and cross-team delivery alignment.
Tech Arch Senior Analyst | Accenture
02/2021 - Present | Hyderabad, India
- Architected and delivered end-to-end Azure data integration platforms across ADF, Azure Storage, Azure Functions, and related PaaS services.
- Built reusable metadata-driven ingestion frameworks in ADF to onboard and standardize data from multiple cloud sources.
- Implemented transformation workloads across ADF data flows, Databricks (PySpark), Fabric-oriented patterns, and SQL procedures based on performance and maintainability fit.
- Developed cross-cloud Azure Function integrations for AWS S3 to internal SFTP movement and BigQuery extraction into PostgreSQL targets.
- Established scalable engineering patterns for schema evolution, data validation, and repeatable deployment workflows across analytics pipelines.
- Delivered dimensional modeling and advanced Power BI reporting while improving analyst productivity using DAX Studio and Tabular Editor.
Software Engineer | Tech Mahindra
04/2018 - 02/2021 | Hyderabad, India
- Led migration of legacy SSIS ETL from on-prem SQL Server to Azure PaaS using SSIS on ADF, Azure SQL Managed Instance, and ADLS Gen2.
- Engineered cloud-native ADF pipelines with stored-procedure transformation layers and custom operational logging controls.
- Strengthened security posture by replacing key-based connectivity with Managed Identity and Azure Key Vault integration.
- Improved SSIS and SQL execution performance through indexing strategy upgrades and query optimization tuning.
Leadership, Client Engagement, and Ownership
Client-Facing Solution Delivery
Lead requirement clarification with business stakeholders and convert asks into clear engineering execution plans.
Team Enablement
Line-managed 2 data engineers while staying hands-on with technical mentoring, code reviews, and production delivery support.
Cross-Functional Coordination
Coordinate with analytics, platform, and reporting teams to keep delivery timelines predictable and outcomes measurable.
End-to-End Accountability
Own the lifecycle from architecture and implementation through production stabilization and optimization.
Platform Standards
Drive reusable standards for data quality, observability, and cost-aware engineering decisions across platform workloads.
Execution Under Constraints
Prioritize high-impact outcomes while balancing delivery timelines, operational risk, and cloud cost controls.
Certification Badge Wall
Official Microsoft badge image assets with direct links to each credential page.
View all credentials on Microsoft LearnEducation
Bachelor of Engineering in Electronics and Communication
SJB Institute of Technology | Bengaluru, Karnataka | 06/2013 - 06/2017
Contact
If you are hiring for senior data engineering roles in Azure, Fabric, or Databricks, I would love to connect.