Shiwin.in

Consulting Services

Data engineering services for teams that need reliable platforms, cleaner delivery, and trusted data.

I help organizations design, modernize, and automate cloud data platforms with a focus on Snowflake, AWS, migration readiness, reconciliation, and practical AI enablement.

Snowflake Platform Engineering

  • Snowflake architecture and environment design
  • RBAC, warehouse strategy, cost controls, and governance
  • Tasks, streams, Snowpark, stored procedures, and automation
  • Performance review and platform hardening

Data Migration to Snowflake

  • Migration planning and source-to-target strategy
  • Replication, transformation, validation, and cutover support
  • CDC patterns using Qlik Replicate, Kafka, and AWS services
  • Operational readiness and migration quality checks

Reconciliation & Data Trust

  • Configurable reconciliation frameworks
  • Quantity checks, discrepancy reporting, and audit tables
  • Snowpark and SQL-based validation processes
  • Data quality workflows for business confidence

AWS Data Architecture

  • S3, Lambda, API Gateway, IAM, and serverless data patterns
  • Cloud-native data ingestion and processing design
  • Disaster recovery, resilience, and environment strategy
  • Secure integration between AWS and Snowflake

Automation & DevOps

  • Bitbucket Pipelines and CI/CD implementation
  • schemachange, Snowflake CLI, Git workflows, and release controls
  • Terraform and infrastructure as code foundations
  • Reusable frameworks that reduce manual deployment risk

AI-Powered Data Engineering

  • AI-assisted issue analysis and engineering workflow automation
  • RAG patterns for documentation, code, and operational knowledge
  • Data quality and observability use cases
  • Practical GenAI adoption with review and governance controls

Engagement Model

Focused support from strategy through delivery.

Architecture Review

Assess your current platform, identify gaps, and define practical improvements for scale, reliability, and cost.

Implementation Support

Design and build pipelines, Snowflake components, automation workflows, and validation frameworks.

Migration Readiness

Plan source-to-target movement, reconciliation, cutover checks, and operational readiness for cloud data migration.

Technical Enablement

Support engineering teams with standards, reusable patterns, documentation, and knowledge transfer.