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Antus UserAU
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Antus User

@antus964

I build scalable Azure data pipelines, improving data quality, reliability, and cost efficiency.

India
Message

What I'm looking for

I’m looking for a Data Engineer role where I can own ETL/ELT pipelines, enforce data quality, and deliver reliable reporting on Azure—with room to grow into MLOps through model deployment and monitoring.

I’m a Data Engineer with hands-on experience designing and maintaining scalable ETL/ELT pipelines, monitoring data quality across high-volume workflows, and operationalizing data solutions on Azure at Sony.

I’m proficient in Python, SQL, PySpark, and Azure services such as Azure Synapse Analytics and Microsoft Fabric, and I use Databricks for data processing and ML workloads. In my Data Engineer Intern role, I designed pipelines processing 20GB+ daily data and implemented data quality checks to improve downstream accuracy.

I automate extraction, transformation, and validation with Python and SQL, reducing manual workload by 50% and strengthening governance. I also built monitoring and observability with Power BI/Power Automate (reducing manual effort by 40%) and helped drive a 45.5% reduction in infrastructure spend through data-backed cost optimization, while delivering ML prototypes where model performance improved from 70% to 80% through hyperparameter tuning and iterative experimentation.

Experience

Work history, roles, and key accomplishments

SC

Data Engineer Intern

Sony India Software Centre

Mar 2025 - Mar 2026 (1 year)

Designed and maintained Azure Synapse Analytics/Databricks ETL/ELT pipelines processing 20GB+ daily data, adding data quality checks for accuracy across downstream reporting. Automated Python/SQL extraction, transformation, and validation to reduce manual workload by 50%, and delivered Power BI monitoring dashboards with Power Automate to cut reporting effort by 40% while contributing to a 45.5% i

FL

Machine Learning Intern

Feynn Labs

Oct 2024 - Dec 2024 (2 months)

Owned the end-to-end ML lifecycle for an AI-powered product, improving model performance from 70% to 80% via hyperparameter tuning and iterative experimentation. Built and operationalized an ML regression workflow with feature engineering, outlier handling, cross-validation, and MLOps-style model versioning and evaluation across 40+ localities.

Education

Degrees, certifications, and relevant coursework

NT

Nitte Meenakshi Institute of Technology

Bachelor of Engineering, Electrical and Electronics Engineering

2018 - 2022

Grade: 7.68/10

B.E. in Electrical and Electronics Engineering (CGPA: 7.68/10) from Nitte Meenakshi Institute of Technology, completed in 2022.

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