I provide end-to-end consulting and solution architecture services in Cloud, Big Data, and AI/ML, with a proven track record of delivering scalable, secure, and high-performing enterprise solutions. With 14+ years of experience, I specialize in designing and implementing cloud-native architectures using AWS, Snowflake, Databricks, and Apache Kafka, enabling organizations to unlock the full potential of their data.
My expertise spans across data lakes, data warehouses, real-time streaming platforms, and AI/ML solutions. I architect and optimize ETL/ELT pipelines using PySpark, Snowpark, Hive, and Apache Hudi/Iceberg, ensuring seamless data ingestion, transformation, and analytics. Proficient in Redshift, PostgreSQL, Oracle, and DynamoDB, I deliver solutions that integrate advanced MLOps pipelines, predictive analytics, and GenAI capabilities using Amazon SageMaker, Bedrock, and OpenAI.
Beyond technology, I bring strong leadership and stakeholder collaboration skills, having led cross-functional teams of 20+ engineers on mission-critical projects across automotive, retail, and manufacturing industries. My ability to translate business requirements into robust technical designs reduces time-to-market, ensures cost optimization, and enhances business outcomes.
What differentiates my services is the focus on business impact and innovation. I not only build high-performing architectures but also implement cost-effective optimizations, achieving measurable savings (up to $1M annually for enterprise clients). I specialize in creating real-time customer 360° platforms, AI-powered chatbots, and intelligent data products, enabling enterprises to move from data-driven to truly AI-enabled organizations.