SATISH FULWANI
Senior Data Engineer | Snowflake, Kafka, Azure & AWS | 3x AWS Certified
Pune, India · MTech Data Science & Engineering, BITS Pilani
Summary
Staff Data Engineer with 8+ years building reliable, cloud-native data platforms. Seeking Senior Data Engineer roles at large investment firms. Strengths include Snowflake warehousing, realtime pipelines (Kafka, Lambda), batch ETL/ELT on Azure Data Factory and Databricks, and production GenAI/RAG on Snowflake Cortex AI and LangChain.
Led a team of 3 to modernize a legacy platform on Azure and Snowflake, migrating 1+ TB with zero downtime for a major regulated insurance program. Delivered agent skills and automations and event-driven streaming into Snowflake for analytics. Mentor engineers; partner with product and business on data quality and SLAs.
Proven delivery in regulated, high-volume environments (insurance, media, nutrition); comfortable partnering with business and compliance stakeholders on data governance, quality SLAs, and platform reliability.
Rapidly adapts to new stacks, tooling, and domains - learn, unlearn, and relearn is a working principle.
Technical Skills
Snowflake, Kafka, PySpark, Databricks, SQL, Azure Data Factory, Pandas, data modeling
AWS (Lambda, Glue, S3, API Gateway, DynamoDB), Azure (ADF, Databricks, Synapse, Container Apps), Terraform, Kubernetes, Jenkins CI/CD, Serverless
Python, LangChain, RAG, Snowflake Cortex AI, vector search, agent skills & automations, data governance & lineage
Awards & Recognition
- Brightest Mind - Nagarro's company-wide engineering excellence award.
- 2nd place, Accenture AI Hackathon (Aug 2019) - AI solution pitched and demoed to senior leadership.
- APEX Award x2 - Accenture's highest performance award, for Delivery and for Margin.
- Built HR mail automation system in Python, adopted company-wide by the HR team.
Certifications
- GCP Certified Cloud Digital Leader | GCP | Dec'22
- AWS Certified Machine Learning - Specialty | AWS | Mar'20
- AWS Certified Cloud Practitioner | AWS | Mar'20
- AWS Certified Developer - Associate | AWS | Sep'19
- Machine Learning Advanced Nanodegree | Udacity | Jan'19
- Machine Learning Foundation Nanodegree | Udacity | Apr'18
Education
Professional Experience
Feb'23 - Present | Pune, IN
Led architecture and delivery of a Terraform-managed AWS data platform, a production GenAI bot, and realtime Kafka streaming. Mentored engineers and drove adoption of agent-tooling patterns across the team.
Key Achievements:- Designed and provisioned end-to-end AWS infrastructure with Terraform (Lambda, S3, API Gateway, IAM policies), ensuring reproducible, secure deployments.
- Architected and deployed a production RAG chatbot on Snowflake Cortex AI; engineered LangChain-driven document parsing, chunking, and embedding into Snowflake native vector tables for semantic retrieval.
- Built a Kafka event-ingestion layer with Lambda consumer workers curating near-real-time datasets in Snowflake for analytics and downstream BI dashboards.
- Designed and published reusable agent skills and automations covering code review, documentation, and operational runbooks - measurably reducing team delivery cycle time.
- Mentored engineers on GenAI patterns and RAG design; established team-wide best practices for agent tooling and observability.
Led a team of 3 to modernize Asia's largest insurance company's on-premises data estate onto Azure, delivering reliable pipelines, regulatory-grade governance, and executive analytics.
Key Achievements:- Led a team of 3 to migrate 1+ TB of legacy insurance data to Azure SQL and Snowflake with zero downtime, coordinating cutovers across business and ops stakeholders.
- Designed and delivered Azure Data Factory orchestration pipelines and Databricks / PySpark ETL workflows processing large-scale, regulated insurance data at production SLAs.
- Implemented data quality frameworks, pipeline observability, and lineage tracking across 20+ ADF pipelines to meet regulatory compliance and audit requirements.
- Partnered with solution architects and business stakeholders to translate complex insurance-domain requirements into reliable, versioned data contracts and SLA-bound delivery.
- Enforced data governance policies and access controls across Azure and Snowflake workloads; reduced pipeline incident response time through alerting and runbook automation.
Aug'21 - Feb'23 | Mumbai, IN
Aligned data engineering with evolving business needs: data quality, optimized Glue/Athena/S3 lakehouse patterns, and SageMaker notebooks for ML workflows serving a global nutrition client.
Key Achievements:- Architected and delivered ETL on AWS Data Lake (Glue, Crawlers, Athena) and ML-bound pipelines feeding multiple production models.
- Delivered near-real-time executive dashboards; enabled SageMaker ML workflows on lakehouse data.
Oct'18 - Aug'21 | Bangalore, IN
Designed economical AWS migration architecture for on-premises media ingestion using serverless, fault-tolerant workflows while preserving data integrity for a US media and entertainment client.
Key Achievements:- Architected event-driven pipelines with Lambda, SQS, and DynamoDB for resilient, scalable ingestion.
- Migrated 1.5 million media assets to S3 with ~$100 migration overhead via serverless design.
Selected Projects
LangChain · Azure OpenAI · ChromaDB · Streamlit · Docker
- TravelAgent orchestrator: RAG (ChromaDB) + MCP tools; Streamlit, Docker Compose, pytest.
AI-assisted development
- Event platform with AI chatbots, connections, attendance, and networking on Azure Container Apps / Kubernetes; end-to-end AI-assisted development.
Deep Learning · AWS/Keras | Apr'23
- MTech thesis: CNN fruit classification via transfer learning (ResNet/VGG) on AWS/Keras; compared accuracy and cost across architectures.