Open to opportunities

Akshit Langeh

@akshitlangeh

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Data engineer specializing in cloud infrastructure, big data pipelines, and AI-driven automation for scalable systems.

India

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What I'm looking for

I seek roles where I can design scalable data pipelines, improve observability and reliability, and apply AI-driven automation within collaborative, innovation-focused teams.

I am a data engineer with over 2 years of hands-on experience managing cloud infrastructure and optimizing large-scale data pipelines using Oracle SaaS Fusion and AWS. I have driven measurable improvements — decreasing major incident volume by 20% monthly through SOPs and accelerating data processing by 500% with high-performance ETL built on Python and PromQL.

I build AI-driven tools and streamline DevOps workflows to improve reliability and observability, including an AI agent on Fusion AI Studio and migrating monitoring scripts to Oracle SCM DevOps. I present technical solutions at events and deliver scalable data architectures for analytics, with proven project work using PySpark, Kafka, Airflow, dbt and AWS services.

Experience

Work history, roles, and key accomplishments

Current

Technical Analyst

Current

Oracle

Jul 2023 - Present (2 years 3 months)

Led incident management for Oracle SaaS Fusion across CX, HCM, SCM, ERP and OCI infrastructure, meeting 15-minute SLAs and reducing major incident volume by 20% monthly; accelerated HHC 3.0 data processing 5x via a high-performance ETL pipeline and automated SR handling with an AI agent.

Python ETL PromQL Grafana Oracle Fusion CI CD DevOps SQL

Education

Degrees, certifications, and relevant coursework

MIT World Peace University

Bachelor of Technology, Engineering

2015 - 2019

Grade: 8.90 CGPA

Bachelor of Technology completed with 8.90 CGPA at MIT WPU, focused on engineering fundamentals and practical projects in data pipelines and cloud technologies.