Chinna Senkala

Cloud Data Engineer with 3+ years of hands-on experience architecting enterprise-scale data platforms across healthcare, transportation, and utilities sectors. Specialized in Microsoft Fabric and Medallion architecture design, with proven delivery of zero-copy cloud migrations and fault-tolerant ETL/ELT pipelines for AI and analytics workloads. Holds active DP-700 (Fabric Data Engineer) and DP-203 (Azure Data Engineer) certifications, with demonstrated ability to mentor engineers and translate business requirements into governed, analytics-ready data products.

Cloud Data Engineer at ThoughtSol Infotech (2024-02 – Present)

• Led a zero-copy migration from Azure Synapse to Microsoft Fabric by implementing OneLake Shortcuts over existing ADLS Gen2 storage, eliminating 100% of data duplication and data movement costs
• Designed fault-tolerant ETL/ELT pipelines using parameterized notebooks, reusable Dataflow activities, and event-based triggers with error-handling, reducing manual effort by 60% and ensuring high-quality data for AI workloads
• Architected a scalable semi-structured JSON processing pipeline ingesting data from Azure Cosmos DB into Synapse Serverless SQL via Spark's distributed compute, improving pipeline throughput by 35% over the prior approach
• Configured auto-scaling policies and fine-tuned Spark cluster settings (executor memory, shuffle partitions, broadcast thresholds), optimizing resource utilization and lowering monthly compute costs by an estimated 25%
• Mentored 3 junior data engineers through code reviews, design walkthroughs, and pair programming sessions, improving team delivery velocity and code quality
• Conducted root cause analysis on data pipeline failures and performance bottlenecks, reducing mean time to resolution (MTTR) for critical production incidents by 50% through structured runbooks and automated alerting
• Partnered with business analysts and domain leads to define KPIs, data models, and reporting requirements; delivered Power BI dashboards that reduced ad-hoc data requests to the engineering team by 45%
• Created and maintained data engineering documentation including pipeline runbooks, data dictionaries, and onboarding guides, cutting new team member ramp-up time from 3 weeks to under 1 week

Data Specialist at Futuresense Technologies (2023-02 – 2023-12)

• Designed and implemented automated ETL pipelines using Azure Data Factory, reducing reporting turnaround from 2+ days to near real-time and enabling timely business insights
• Collaborated with business stakeholders to identify data requirements and define KPIs, translating operational needs into structured data models and impactful Power BI dashboards
• Created comprehensive data management documentation covering pipeline logic, data flow diagrams, and data quality rules, supporting onboarding of new team members and knowledge continuity

Bachelor of Technology in Mechanical Engineering – Rajiv Gandhi University of Knowledge Technologies (RGUKT) (2018-2022)