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How a Leading E-Commerce Logistics Platform Cut Cloud Costs by 40%+ by Migrating to BigQuery

Challenge

A leading Indian e-commerce logistics platform processing 2M+ shipments daily faced escalating and unpredictable cloud costs from a fragmented 11-tool AWS and Snowflake stack, with no unified governance, 1,680+ SQL queries requiring dialect translation, and multi-source ingestion complexity across MySQL, MongoDB, Postgres, and Cassandra.

Solution

Hoonartek executed a full GCP migration across 9 workstreams – the entire analytics estate onto BigQuery, Cloud Composer, Dataflow, and Dataproc — translating 1,937+ SQL objects, migrating ~14 TB of data, and repointing 210 dashboards across Metabase and Klipfolio with zero business disruption.

Results

40%+

Cost reduction versus the legacy AWS and Snowflake stack

1,937+

SQL objects migrated across 9 workstreams

~14 TB

Data migrated including historical and live CDC

How a Global Insurer Achieved 65% Faster Insights and 100% PII Coverage on Databricks

Challenge

A leading global insurer’s enterprise data was fragmented across SAP, ServiceNow, Oracle, PostgreSQL, and HR systems, with weak PII governance, limited self-service analytics for business teams, and legacy platform constraints limiting scalability, performance, and AI/ML readiness.

Solution

Hoonartek modernized the enterprise data platform by migrating from Azure Synapse to a Databricks Lakehouse using Medallion architecture, centralizing governance with Unity Catalog, building Gold-layer data marts, and implementing FinOps controls, delivering 100% PII coverage and a scalable AI-ready foundation.

Results

65%

Faster time-to-insight through curated Gold-layer data marts

100%

PII coverage with automated governance, masking, and lineage

Faster query execution with 60% faster batch processing

Financial Institution achieves 98% Faster Insights and Full DPDP Compliance 9 Months Ahead of Schedule

Challenge

A major financial institution managed data spread across core banking, CRM, risk, collections, and marketing across 120+ source systems and ~1.5 PB of data, with 2,200+ high-risk PII elements to protect and weak governance increasing compliance risk under DPDP while eroding trust in data quality.

Solution

Hoonartek built an enterprise Databricks Lakehouse supporting batch, CDC, API, file, and streaming ingestion, standardized data with Bronze–Silver–Gold layers, implemented MDM and golden records, and set up comprehensive governance, lineage, audit, and PII protection aligned to DPDP — completed 9 months ahead of schedule.

Results

98%

Faster data insight delivery — from 30 hours to 45 minutes or less

1,200+

Dashboards and reports built and supported

15 months

Full platform implementation completed 9 months ahead of schedule

Major Bank Achieves 98% Faster Insights and a 7% Uplift in Cross-Sell by Modernizing Its Data Platform

Challenge

A large financial institution faced data fragmented across 120+ systems, 1.5 petabytes of high-risk PII lacking proper governance, manual controls eroding compliance confidence, and reduced trust in data due to quality issues and inconsistent definitions.

Solution

Hoonartek designed and built a modern Enterprise Data Platform on Lakehouse architecture, connecting 120+ data systems across finance, risk, and marketing, standardizing data with medallion architecture, implementing comprehensive governance and PII protection aligned to DPDP, and creating a unified Customer 360 view.

Results

98%

Faster insight delivery, down from 30 hours to under 45 minutes

1,200+

Dashboards and reports built and supported

Uplift in cross-sell and upsell from Customer 360

How Agentic AI Reduced Transportation Costs by 15% and Accelerated Dispatch Planning by 25%

Challenge

A logistics operator’s dispatch teams relied on static planning rules and manual decision-making, resulting in poor route and load efficiency, empty miles, underutilized vehicles, and an inability to replan dynamically when urgent orders, breakdowns, or congestion occurred.

Solution

Hoonartek implemented Agentic AI to continuously evaluate orders, vehicle capacity, delivery commitments, and route constraints generating and refining delivery plans dynamically based on live traffic and operational changes, with explainable recommendations and automatic exception surfacing for planner approval.

Results

8–15%

Reduction in transportation cost per shipment

10–18%

Reduction in empty miles through better route and load planning

20–25%

Faster planning and replanning versus manual dispatch