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Siddhivinayak Sahoo

AWS Cloud, DevOps & SRE Engineer | Building Scalable Infrastructure with Kubernetes, Docker, Terraform & CI/CD Automation | Python

Pune City

3+ years of work experience

ZS
Jan 20267 mosPresent

Pune District

ZS
Jun 20233 yrs 2 mosPresent

Pune, Maharashtra, India

Integrated GraphQL APIs with GraphQL/SPARQL for GraphDB, improving response time by 25% and enabling seamless data synchronization across environments. Built high-performance REST APIs for MongoDB CRUD operations with audit logging and transaction tracking, improving system reliability and traceability. Automated CI/CD pipelines using GitLab and Docker, reducing deployment and release time by 40%. Implemented automated API testing using Python, Paramiko, and Pytest, increasing test coverage by 30% and improving overall system performance by 20%. Designed an event-driven AWS S3 pipeline using CloudWatch, SNS, Lambda, and SSM, with Terraform-based automation to ensure secure, scalable, and consistent deployments. Developed Python automation scripts to migrate historical data from legacy systems, significantly reducing manual effort and improving efficiency. Built and optimized a data pipeline for ingesting and standardizing S3 data, resolving data inconsistencies and enabling reliable Power BI reporting. Implemented SCD Type 2 in ETL workflows to maintain historical accuracy and deliver audit-ready, version-controlled data. Engineered a modular ODS–Silver–Gold framework to automate ingestion and transformations, improving data consistency and reducing operational overhead. Designed a multithreaded, config-driven metric engine to compute parallel metrics and write to latest and historical schemas, improving efficiency by 45%. Managed AWS infrastructure using Terraform, implemented disaster recovery with automated traffic redirection, and ensured high availability through on-demand infrastructure upgrades.

Siddhivinayak’s AI Stack

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Education

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

Bachelor of Technology - BTech, Computer Science

SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

20194 yrs2023
kendriya vidyalaya

XII, Computer Science

kendriya vidyalaya

20181 yr2019

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Headline

AWS Cloud, DevOps & SRE Engineer | Building Scalable Infrastructure with Kubernetes, Docker, Terraform & CI/CD Automation | Python

About

Software Developer skilled in Python, Flask, and cloud technologies, with experience in Agile development and implementing CI/CD pipelines to streamline deployments. Proven track record in backend development, API integration, and scalable application design.

Location

Pune City

AI stack

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Work experience

Business Technology Solution Associate Consultant at ZS, Jan 2026 - Present · 7 mos, Pune District

Business technology solution associate at ZS, Jun 2023 - Present · 3 yrs 2 mos, Pune, Maharashtra, India, Integrated GraphQL APIs with GraphQL/SPARQL for GraphDB, improving response time by 25% and enabling seamless data synchronization across environments. Built high-performance REST APIs for MongoDB CRUD operations with audit logging and transaction tracking, improving system reliability and traceability. Automated CI/CD pipelines using GitLab and Docker, reducing deployment and release time by 40%. Implemented automated API testing using Python, Paramiko, and Pytest, increasing test coverage by 30% and improving overall system performance by 20%. Designed an event-driven AWS S3 pipeline using CloudWatch, SNS, Lambda, and SSM, with Terraform-based automation to ensure secure, scalable, and consistent deployments. Developed Python automation scripts to migrate historical data from legacy systems, significantly reducing manual effort and improving efficiency. Built and optimized a data pipeline for ingesting and standardizing S3 data, resolving data inconsistencies and enabling reliable Power BI reporting. Implemented SCD Type 2 in ETL workflows to maintain historical accuracy and deliver audit-ready, version-controlled data. Engineered a modular ODS–Silver–Gold framework to automate ingestion and transformations, improving data consistency and reducing operational overhead. Designed a multithreaded, config-driven metric engine to compute parallel metrics and write to latest and historical schemas, improving efficiency by 45%. Managed AWS infrastructure using Terraform, implemented disaster recovery with automated traffic redirection, and ensured high availability through on-demand infrastructure upgrades.

Education

Bachelor of Technology - BTech, Computer Science, SVKM's Narsee Monjee Institute of Management Studies (NMIMS)

XII, Computer Science, kendriya vidyalaya

Siddhivinayak Sahoo - Business Technology Solution Associate Consultant in Pune City | Tal