I help organizations migrate to Snowflake, automate ETL with Informatica IICS, and deliver analytics pipelines that cut costs, boost performance, and enable data-driven decisions. Ready to transform your data ecosystem?
Snowflake & IICS Data Engineer • 4+ Years Experience
I help enterprises modernize data platforms with Snowflake, Informatica IICS, and Azure/AWS. My focus: seamless cloud migration, robust ETL pipelines, and real-time analytics that drive measurable business outcomes.
Current • Snowflake, IICS, Azure Data Factory
Architecting scalable ETL pipelines (IICS, ADF), cloud-native Snowflake data platforms, and advanced analytics solutions. Led multiple data migration projects from legacy to cloud, ensuring zero downtime and cost optimization.
2022–2025 • Bangalore, India
Spearheaded Pentaho-to-Snowflake and SAP HANA-to-Azure migrations. Built enterprise ETL workflows with Informatica IICS & ADF, optimized SQL performance, and delivered large-scale sales data migrations with zero downtime.
I engineer systems that drive impact.
From legacy migration to cloud-native analytics — every system I build is designed for scale, reliability, and measurable business outcomes. Specializing in Snowflake and Informatica IICS for high-performance, governed data solutions.
Processing Time Reduced
Cloud Costs Optimized
Records Processed Daily
Pipeline Uptime
Query Latency Reduced
Faster Business Decisions
Data Engineer • Data Architecture • AI-Driven Systems
Building the infrastructure that powers tomorrow's data-driven decisions.
Explore My WorkClick on any pipeline stage to explore the architecture, tools, and real-world projects behind each component.
Hover over each stage to explore how raw chaos becomes actionable intelligence.
Data pours in from 30+ sources — APIs, CDC streams, flat files, IoT sensors. Formats clash. Schemas drift. Volumes spike at 3 AM.
Millions of events per minute. REST, gRPC, Kafka topics, SFTP drops. No two sources speak the same language.
Real metrics from production data systems — animated counters showcasing the kind of measurable results I deliver.
Reduced data processing time by optimizing ETL pipelines
Achieved cloud infrastructure cost optimization
Scalable pipelines handling millions of records
Improved data accuracy and reliability
Faster query performance across the warehouse
Enabled faster business decision-making
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Legacy batch processing caused 8-hour delays in reporting. Decision-makers needed real-time visibility into operations.
Implemented medallion architecture (Bronze → Silver → Gold) with streaming micro-batches and incremental materialization via dbt.
Reduced reporting latency from 8h to 5min. Saved $200K/year. Self-service analytics for 50+ users.
Manual ETL processes led to inconsistent data and missed SLAs for a global sales dashboard.
Automated end-to-end data pipelines using Informatica IICS and Azure Data Factory, with robust error handling and alerting.
Increased data reliability to 99.99%, reduced manual effort by 90%, and enabled daily executive reporting with zero failures for 18 months.
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Industry-recognized credentials validating expertise in Snowflake, Azure, and Informatica IICS.
What clients and leaders say about my data engineering work.
Turning complex data ecosystems into scalable, governed intelligence that powers business outcomes.
