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Hi, I'm Sudhakar Hanumanth, a data-driven engineering professional with 2+ years of experience in building scalable ETL pipelines, optimizing cloud data systems, and delivering secure, high-performance analytics solutions. I enjoy turning messy data into actionable insights and am proficient with Python, SQL, Spark, and cloud platforms (GCP, AWS, Azure). I am currently pursuing a Master’s in Applied Computer Science and have worked as a Data Engineer at LTIMindtree in Bangalore and as a Data Science Working Student at ALOC AI GmbH in Berlin. I’m passionate about AI-driven data engineering, real-time analytics, and developing robust data pipelines that empower business decision-making.…Hi, I'm Sudhakar Hanumanth, a data-driven engineering professional with 2+ years of experience in building scalable ETL pipelines, optimizing cloud data systems, and delivering secure, high-performance analytics solutions. I enjoy turning messy data into actionable insights and am proficient with Python, SQL, Spark, and cloud platforms (GCP, AWS, Azure). I am currently pursuing a Master’s in Applied Computer Science and have worked as a Data Engineer at LTIMindtree in Bangalore and as a Data Science Working Student at ALOC AI GmbH in Berlin. I’m passionate about AI-driven data engineering, real-time analytics, and developing robust data pipelines that empower business decision-making.

Sudhakar Hanumanth

Data Analyst, AI Engineer, Cloud Developer, +2

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Hi, I'm Sudhakar Hanumanth, a data-driven engineering professional with 2+ years of experience in building scalable ETL pipelines, optimizing cloud data systems, and delivering secure, high-performance analytics solutions. I enjoy turning messy data into actionable insights and am proficient with Python, SQL, Spark, and cloud platforms (GCP, AWS, Azure). I am currently pursuing a Master’s in Applied Computer Science and have worked as a Data Engineer at LTIMindtree in Bangalore and as a Data Science Working Student at ALOC AI GmbH in Berlin. I’m passionate about AI-driven data engineering, real-time analytics, and developing robust data pipelines that empower business decision-making.…Hi, I'm Sudhakar Hanumanth, a data-driven engineering professional with 2+ years of experience in building scalable ETL pipelines, optimizing cloud data systems, and delivering secure, high-performance analytics solutions. I enjoy turning messy data into actionable insights and am proficient with Python, SQL, Spark, and cloud platforms (GCP, AWS, Azure). I am currently pursuing a Master’s in Applied Computer Science and have worked as a Data Engineer at LTIMindtree in Bangalore and as a Data Science Working Student at ALOC AI GmbH in Berlin. I’m passionate about AI-driven data engineering, real-time analytics, and developing robust data pipelines that empower business decision-making.

Available to hire

Hi, I’m Sudhakar Hanumanth, a data-driven engineering professional with 2+ years of experience in building scalable ETL pipelines, optimizing cloud data systems, and delivering secure, high-performance analytics solutions. I enjoy turning messy data into actionable insights and am proficient with Python, SQL, Spark, and cloud platforms (GCP, AWS, Azure).

I am currently pursuing a Master’s in Applied Computer Science and have worked as a Data Engineer at LTIMindtree in Bangalore and as a Data Science Working Student at ALOC AI GmbH in Berlin. I’m passionate about AI-driven data engineering, real-time analytics, and developing robust data pipelines that empower business decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

German

Beginner

Work Experience

Data Engineer at LTIMindtree

September 1, 2023 - September 1, 2023

Designed scalable data pipelines using GCP services (BigQuery, Dataflow, Pub/Sub, Cloud Composer, Airflow), improving data processing efficiency by 30% and enabling real-time data ingestion and analysis. Optimized ETL processes and data warehouse schemas, reducing query latency by 25% and improving storage utilization. Implemented robust data migration strategies, reducing transfer and retrieval times by up to 40% and ensuring security and integrity through service accounts and encryption. Enhanced data quality and compliance with automated validation frameworks and SQL optimizations for secure, efficient reporting. Built cost-efficient cloud solutions by automating resource provisioning, constructing CI/CD pipelines for deployments, and scripting in Python to optimize GCP usage and costs.

Data Science Working Student at ALOC AI GmbH

October 1, 2025 - October 1, 2025

Developed and fine-tuned localization and video translation models, improving BLEU scores by 15-20% across multilingual content. Built automation pipelines for training and evaluation, enabling faster model iteration.