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.
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 at enterprise scale.
Processing Time Reduced
Cloud Costs Optimized
Records Processed Daily
Pipeline Uptime
Query Latency Reduced
Faster Business Decisions
DATA ENGINEER • CLOUD 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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4+ years of data engineering expertise — Snowflake migrations, cloud ETL pipelines, and analytics systems at enterprise scale.
DATA ENGINEER • SNOWFLAKE • IICS • CLOUD PIPELINES
Industry-recognized credentials validating expertise in Snowflake, Azure, and Informatica IICS.
What clients and leaders say about my data engineering work.
Ravikant led our Snowflake migration with zero downtime. His expertise in IICS and cloud data engineering directly enabled our team to deliver analytics 10x faster.
We reduced cloud costs by 30% and improved pipeline reliability thanks to Ravikant's architecture and hands-on leadership.
The ETL automation and data quality frameworks implemented by Ravikant empowered our business teams with real-time, trusted data.
Turning complex data ecosystems into scalable, governed intelligence that powers business outcomes.
