Data Engineering Specialists · Est. 2023 · Bengaluru → Dublin → Sydney
That migration is real — a bank's reconciliation pipeline we rebuilt from SSIS to PySpark. Vipra Software designs, builds, and runs data infrastructure: scalable pipelines, real-time streaming, and cloud-native architectures for enterprises that demand performance at scale.
Deliver scalable, efficient, and reliable data systems that transform raw information into strategic enterprise assets — at any volume, velocity, or variety.
Empower businesses worldwide to make confident, data-driven decisions through cutting-edge infrastructure, intelligent pipelines, and cloud-native architecture.
Founded in 2023, Vipra Software operates across 3 continents — India, Europe, and beyond — delivering world-class data engineering to enterprises globally.
Bengaluru · Dublin · Sydney · Dubai · Bangkok · DelhiWe don't just build pipelines — we engineer data ecosystems. Every solution is designed for longevity, observability, and the scale of tomorrow's demands.
From raw ingestion to boardroom dashboards — every layer of your data stack, handled with precision.
ETL/ELT pipelines · PySpark transformations · Batch & real-time processing
Data lakes & warehouses · Structured & unstructured storage · ACID-compliant architectures
Cross-system unification · CDC connectors · API & event-driven ingestion
Star & snowflake schemas · Dimensional modeling · Slowly changing dimensions
DQ frameworks · Lineage tracking · Metadata management · Compliance
Apache Spark · Hadoop · Kafka · Flink · Real-time distributed processing
AWS · Azure · GCP · Multi-cloud strategy · FinOps & cost optimization
Looker · Power BI · Custom dashboards · Self-service BI enablement
Every tool we use is chosen for performance, reliability, and real-world enterprise value — selected after rigorous evaluation, not hype.
Battle-tested orchestration patterns delivering 80% faster processing and sub-3-minute end-to-end latency across financial and EdTech enterprises.
Architecting storage layers that serve analytical and operational workloads at petabyte scale — with 62% TCO reductions achieved in production.
Battle-tested distributed computing expertise processing 10TB+ financial data migrations and 12M+ records/minute masking engines.
Multi-cloud expertise across AWS, Azure, and GCP — building elastic, cost-optimized data platforms that scale with your business.
Event-driven architectures delivering sub-3-minute end-to-end latency — moving enterprises from stale batch reports to live operational intelligence.
Every tool chosen for production reliability, enterprise scalability, and long-term ROI — not hype or trend-chasing.
TCO reduction via serverless cloud migration
Records/minute through masking engines
Processing time reduction in enterprise migrations
End-to-end streaming latency SLA achieved
Eight reasons why CXOs and engineering leaders across India, Europe, and the Pacific trust us with their most critical data infrastructure investments.
Architectures that grow from thousands to billions of events — without re-platforming. Built right, the first time. Our distributed-first design ensures you never hit a wall.
Distributed-first designSub-3-minute end-to-end streaming latency. Kafka + Spark Streaming pipelines that never sleep — powering live dashboards and instant operational decisions.
Production-proven SLAsCertified depth across AWS, Azure & GCP. We architect cloud strategies that avoid lock-in and maximize ROI — with FinOps governance built into every deployment.
AWS · Azure · GCPEvery solution ships with cost attribution built-in. We've delivered 62% TCO reductions and $125K+ annual savings — measurable ROI from day one of production.
Savings from day oneMasking engines at 12M+ records/minute. PCI-DSS, SOX, and GDPR compliance baked into every design decision — so your data stays protected at enterprise speed.
Enterprise complianceSprint-based engineering with weekly demos and full transparency. From kickoff to production in weeks, not months — with CI/CD pipelines and automated testing gates.
Fast time-to-valueEvery pipeline ships with data lineage tracking, SLA dashboards, and automated alerting. You always know exactly what your data is doing — zero blind spots, guaranteed.
Zero blind spotsA distributed team of senior engineers across India, Europe, Middle East, and Asia-Pacific — delivering continuous coverage for mission-critical production systems, 24/7.
7 global locationsFrom Fortune 500 banks to global EdTech platforms — here's what happens when data engineering is done right.
A banking data platform deep-dive — S3 → GCS → BigQuery + dbt in production. Pipeline runtime slashed from 6.5 hours to 87 minutes. 560+ models. Real production experience. Real numbers.
A 2TB+ data estate locked in AWS Redshift creating runaway costs and bottlenecking analytical teams. Queries were slow, costs unpredictable, scaling manual.
Full migration to serverless BigQuery + dbt. Redesigned transformation layer, intelligent partitioning, and FinOps cost attribution dashboards.
Global Learning Experience Platform needed sub-minute data freshness for millions of users — impossible with nightly batch architecture.
End-to-end Confluent Cloud (Kafka) + CDC pipeline. BigQuery as unified data lakehouse with Cloud Functions orchestrating DOMO and ElasticSearch sync.
Major financial institution on Oracle/MSSQL + SSIS — 10-hour nightly windows delaying daily reconciliation and reporting for the entire bank.
Full Legacy-to-Cloud modernization: SSIS refactored to PySpark, 10TB+ migrated, 12M record/min masking engine — 100% data integrity maintained.
Real estate intelligence company needed high-cardinality spatial datasets processed in real-time to power AI-driven market valuation models.
Hybrid multi-cloud geospatial lakehouse: AWS Athena for serverless queries, Redshift for warehousing, Databricks PySpark for spatial telemetry.
Fortune 500 clients with complex hybrid-cloud environments, fragmented data flows, and no unified governance — blocking self-service analytics adoption.
End-to-end governance framework, DQ validation layers, metadata management strategies — reducing manual reconciliation by 40% and enabling self-service BI.
Healthcare network needed unified analytics from 12 disparate EMR systems while maintaining strict HIPAA compliance and 99.9% availability SLAs.
Azure-native HIPAA platform with end-to-end encryption, row-level security, and real-time Synapse Analytics pipelines unifying all 12 EMR sources.
Showing 6 of 12 case studies · 14 engineering articles
Explore All Case Studies → Browse All Insights →A distributed senior engineering team across 3 continents — delivering follow-the-sun data engineering so your critical systems are always covered.
Main engineering hub. Home to our core data engineering, cloud architecture, and Spark/Kafka teams.
HeadquartersRegistered office. Administrative base supporting legal, compliance, and regional operations.
Registered OfficeNorth India presence. Business development, enterprise client engagements, and strategic partnerships.
India OfficeSouth India presence. Centre of Excellence, R&D strategic centre for innovation and talent.
India OfficeEuropean gateway. Serving EU enterprise clients with GDPR-compliant data architectures and delivery.
EuropeAsia-Pacific hub. Supporting APAC enterprise clients with local expertise and regional coverage.
Asia-PacificMiddle East presence. Expanding data engineering services across the GCC region and MENA market.
Middle EastSoutheast Asia foothold. Supporting regional partners and ASEAN-focused enterprise data initiatives.
Southeast AsiaReady to engineer your data infrastructure?
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We'll reach out within 24 hours. Looking forward to building with you.
Looking to modernize your data infrastructure, migrate to the cloud, or build real-time streaming analytics? We work with enterprises, scale-ups, and ISVs globally to deliver measurable data ROI.
From pipeline architecture to production deployment — we own the outcome.
AWS, GCP, Azure — unlock the right platform for your workloads.
Power BI, Looker, Tableau — turn raw data into boardroom-ready insight.
Senior data engineers embedded in your team, on demand.
We're building a world-class team of data engineers, cloud architects, and AI specialists. If you're passionate about solving hard data problems at global scale — we want to hear from you.
Work from anywhere across India, Europe, and Asia-Pacific.
BigQuery, Kafka, Spark, Databricks — real enterprise problems, real scale.
Cloud certification support (AWS, GCP, Azure) and continuous L&D investment.
Data Engineers · Cloud Architects · BI Developers · ML Engineers · DevOps.