v
vivekhanumanthu

Hanumanth V

@vivekhanumanthu

Data Engineer

India
Inglés
Parte de la información aparece en idioma inglés.
Sobre mí
I am a Data Engineer with hands-on experience in designing real-time data pipelines using Snowflake, ELT, and dbt. I am skilled in Generative AI and Retrieval-Augmented Generation (RAG) systems, and I am passionate about developing scalable and intelligent data workflows that bridge analytics, automation, and AI-driven insights.... Lee más

Habilidades

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vivekhanumanthu
Hanumanth V
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Revisa mis servicios

Consultoría de ingeniería de datos
I will build scalable snowflake data pipelines
DeUSD 25 / proyectoMás información

Porfolio

Experiencia laboral

Capgemini

Senior Data Engineer

Capgemini

Jun 2025 - Present • 1 yr 4 mos

– Architected scalable ELT pipelines using Snowflake, dbt Core, Fivetran, REST APIs, AWS S3, and Python to ingest, transform, and model enterprise healthcare data for analytics and reporting. – Designed metadata-driven data ingestion pipelines using Snowflake Openflow, AWS S3, and Amazon MWAA, orchestrating automated workflows for reliable enterprise data migration and processing. – Optimized dbt incremental models and Snowflake data warehouse architecture to process over 5 TB of monthly data, eliminating migration failures while improving pipeline scalability, reliability, and performance. – Implemented dbt Snapshots (SCD Type 2) to validate Five9 contact center data, reducing data inconsistencies by 15% and achieving 99.9% data accuracy for downstream financial and operational reporting. – Developed normalized dimensional data models and modular SQL transformation workflows, leveraging AWS Athena for ad hoc data validation and cross-platform reconciliation of enterprise datasets. – Applied Snowflake Cortex AI functions to Five9 call transcription data to extract structured insights such as conversation summaries, customer intent, sentiment, and key topics, transforming unstructured contact-center conversations into analytics-ready data for downstream analysis. – Automated daily and monthly reporting pipelines using dbt incremental models, reducing Snowflake compute costs by 35% and saving more than 20 hours of manual effort per week.

GlobalLogic

Software Engineer

GlobalLogic

Jul 2024 - Jun 2025 • 11 mos

– Built scalable ELT pipelines using Snowflake, SQL, and Python to migrate and transform customer, booking, and operational datasets for enterprise analytics and reporting. – Developed optimized SQL transformation workflows and Snowflake data models, improving query performance and reducing execution time for high-volume reporting workloads. – Engineered data ingestion and transformation pipelines from multiple enterprise source systems into Snowflake, delivering reliable, analytics-ready datasets with strong data quality standards. – Performed end-to-end data validation, reconciliation, root cause analysis, and production suppor