Every engineering project shipped and every playbook written by the Vipra Software team — in one place. Real production systems. Real architecture decisions. Real results.
62% TCO reduction migrating 2TB+ from AWS Redshift to serverless BigQuery. $125K saved annually. 10× query scalability with dbt transformation layer.
Transformed a global EdTech LXP from nightly batch to sub-3-minute real-time streaming with Confluent Kafka, BigQuery, and CDC. Millions of learners served.
Replaced 10-hour SSIS nightly batch runs with PySpark pipelines — 80% processing time reduction, 10TB+ migrated, ACID compliance maintained throughout.
Databricks-powered ML personalisation platform serving 8M customers with AI-driven recommendations — 18% revenue lift, 23% engagement increase.
Apache Flink + ClickHouse NOC platform processing 1B+ hourly network events with sub-second anomaly detection and distributed alert correlation.
Hybrid multi-cloud geospatial data lakehouse enabling real-time AI property valuation with satellite imagery, census data, and transaction history fusion.
HIPAA-compliant Microsoft Azure analytics platform unifying 12 disparate EMR systems with 99.9% uptime SLA and real-time clinical dashboards.
Eliminated oversells with an AWS Kinesis + Lambda serverless event-streaming platform processing 50M inventory events per day at 500ms end-to-end latency.
End-to-end governance framework for a Fortune 500 company — 40% less manual reconciliation, full data lineage, Apache Atlas catalog, GDPR/SOX alignment.
Cut insurance group daily reporting from 6 hours to 15 minutes with Snowflake + dbt + Looker. 560+ dbt models. 87-minute pipeline runtime from 6.5 hours.
Apache Atlas lineage graph covering 100% of data assets for a European bank — enabling GDPR right-to-erasure workflows and audit-ready compliance reporting.
GCP multi-region data lakehouse unifying 15 regional logistics systems — 35% forecast accuracy improvement, near-real-time inventory visibility across continents.
Gemini 1.5 Pro compliance engine unifying 10B+ transactions, SWIFT messages, trader emails, and 40K+ pages of regulatory PDFs. 70% faster investigations, $12M+ avoided fines, fraud detection at 50K TPS.
Gemini multimodal engine fusing 2M+ MLS listings, satellite imagery change detection, and 8K+ pages of zoning PDFs. 60% faster property valuations, 30% more accurate price predictions, $5M+ brokerage revenue.
Real patterns from a 560+ model banking platform — pipeline runtime cut from 6.5h to 87min, 63% cost reduction, model organization that actually scales.
62% TCO cut, $125K/yr saved. Every gotcha from a real 2TB+ migration: schema translation, dialect differences, cost model shifts, go-live checklist.
Kafka + Flink + Iceberg reference architecture for sub-100ms fraud scoring at 50,000 transactions per second — ML feature serving, alert routing, replay.
The schema-evolution traps, Kafka compaction edge cases, and Flink checkpointing failures nobody documents — and exactly how to survive them in production.
The FinOps playbook for Snowflake: warehouse sizing, query result caching, clustering keys, resource monitors, and the 14 settings that drain credits silently.
Honest breakdown of where LLMs genuinely accelerate data pipelines today vs where they add cost and complexity — with real integration patterns for each use case.
Architecture playbook for building a FHIR R4-native data mesh across hospital networks — consent management, HL7 translation layer, and HIPAA guardrails.
How to design data infrastructure for AI agents that write their own queries, trigger pipelines, and self-heal — memory layers, tool contracts, and failure modes.
60% of AI initiatives fail because the data foundation is rotten. Vipra's 90-day AI-Ready Modernization Sprint: dark data liberation, GenAI-assisted COBOL/SSIS refactoring (40–50% faster), agentic AI-ready architecture, unified lakehouse — from technical debt to AI asset.
$180B+ wasted annually. A runaway LLM inference job burns $50K in a weekend. Vipra's AI-Native FinOps platform: real-time cost attribution per team/AI model, OPA budget guardrails at deployment, auto-remediation, and Gemini-powered conversational spend analytics.
AI engineering postings up 80% YoY, supply lags 2–4 years, senior hires take 6+ months at $1M+ comp. Vipra's Embedded AI Engineering Model: senior LLM/RAG/agentic engineers embedded in your team, first production PR in 2 weeks, knowledge transfer built in — zero Vipra dependency at engagement end.
Side-by-side comparison from real projects: schema evolution, time travel, merge performance, ecosystem lock-in, and which format wins for which workload.
How to give 200+ analysts direct data access without governance chaos — semantic layers, permission models, cost allocation, and the data mesh patterns that work.
From lab bench to lakehouse: FASTQ ingestion, variant calling pipelines, GVCF partitioning strategies, and population-scale cohort queries on Delta Lake.
The operational realities of CDC at scale: snapshot strategies, watermark tuning, connector offsets, and the 5 failure modes that will hit you in production.
Not all data moves the same way. The decision framework for choosing CDC vs full load — latency requirements, table size thresholds, cost tradeoffs, and edge cases.
Technical patterns and team dynamics for data contracts that outlast the initial enthusiasm — schema registries, SLO enforcement, and how to handle violators.
The DAG anti-patterns that make Airflow painful and the architectural choices that make it sing — task isolation, dynamic DAGs, sensors vs triggers, observability.
A principal engineer's audit checklist — the 22-point inspection for finding wasted Snowflake credits before your next bill arrives. Real queries included.
The three categories of dbt tests that pass while your data rots — distribution drift, referential gaps, and business-logic silences — plus how to close each gap.
Transparent pricing breakdown: rate structures, project scoping models, hidden costs, red flags in proposals, and what good value actually looks like.
The definitive guide: lake vs warehouse vs lakehouse, medallion architecture, ACID on object storage, and the 5 signals that you need a lakehouse now.
H3 spatial indexing, satellite raster ingestion, and ML feature pipelines for AI-driven property valuation — the architecture behind production PropTech systems.
Kafka + Apache Druid architecture for real-time clickstream analysis — session stitching, funnel collapse detection, and sub-2-second conversion triggers at scale.
The data quality patterns that catch phantom inventory before it hits the warehouse floor — contract-level checks, quarantine tables, and reconciliation pipelines.
High-cardinality telemetry at EdTech scale: ClickHouse table design for 50B+ event rows, materialized views for live dashboards, and Kafka consumer group tuning.
Architecture for automated grading pipelines — embedding-based similarity scoring, rubric alignment with LLMs, human-in-the-loop calibration, and cost control.
MQTT → Kafka → Delta Live Tables architecture for industrial digital twins — edge buffering, out-of-order event handling, and sub-second shadow state synchronisation.
Federated data mesh across 200+ suppliers — domain ownership models, standardised product taxonomy, cross-domain contracts, and the governance model that held.
Building carbon footprint pipelines for commercial real estate — IoT meter ingestion, emission factor normalisation, Scope 1/2/3 allocation, and regulatory reporting.
Anti-cheat telemetry architecture for online games — statistical behavioural baselines, Flink ML scoring, ban-appeal audit trails, and false-positive containment.
Feature store architecture for real-time recommendations — online vs offline feature freshness, vector ANN serving, A/B experiment isolation, and cold-start handling.
Every project above started with a conversation. Tell us what you're building and we'll tell you how we'd approach it.