Hey, I’m Venkat
Senior {Data & AI} Engineer_
<p>Specializing in Data Pipelines, Machine Learning, Cloud Infrastructure, and AI Solutions... I architect scalable systems that transform raw data into intelligent insights.</p>
Building intelligent systems
that transform data into decisions
Data Pipeline Architecture
Designing robust ETL/ELT pipelines using Spark, Airflow, and Kafka for real-time and batch processing.
Machine Learning Solutions
Developing predictive models with TensorFlow and PyTorch, from exploratory analysis to production deployment.
Cloud Data Systems
Architecting scalable solutions on AWS/GCP/Azure with Kubernetes, Docker, and serverless technologies.
Data Warehousing
Implementing Snowflake, BigQuery, and Redshift solutions for analytics at scale.
AI Automation
Building LLM-powered workflows and RPA solutions to automate complex business processes.
Data Governance
Implementing metadata management, quality frameworks, and security protocols.
Ready to unlock insights from your data assets.
Let's discuss your requirements. Contact me
9+ years of transforming data
into intelligence
Agilis Analytics
2018 - Present
SARB (X)
2012 - 2015
Transnet
2018 - Present
BCX
2010 - 2012Senior Data & AI Engineer
- Architected petabyte-scale data pipelines processing 50M+ daily events with Apache Spark and Airflow
- Developed ML models for recommendation systems achieving 35% improvement in prediction accuracy
- Led migration to GCP, reducing costs by 40% while improving reliability
Education & Certifications
My Recent Works
Integrate AI into the
ecommerce system
Developed an online learning platform with course management, quizzes, and progress tracking.
- Project Info
Client
Conceptual JSC
Completion Time
6 months
Technologies
Node.js, React, MongoDB, Stripe
Integrate AI into the
ecommerce system
Developed an online learning platform with course management, quizzes, and progress tracking.
- Project Info
Client
Conceptual JSC
Completion Time
6 months
Technologies
Node.js, React, MongoDB, Stripe
My Skills
Data Pipelines:
Designing & orchestrating ETL/ELT workflowsBig Data Ecosystem:
Apache Spark, Hadoop, Kafka, AirflowCloud & Data Warehousing:
AWS, GCP, Azure, Snowflake, RedshiftMachine Learning:
scikit-learn, TensorFlow, PyTorchNLP & Transformers:
Hugging Face, spaCyMLOps & CI/CD:
MLflow, Docker, Kubernetes
