Unified analytics for a 900-store retailer
Migrated a fragmented warehouse to Snowflake with a governed semantic layer, powering real-time inventory and sales analytics.
Cut reporting latency from 24h to 15 min
Modern Data Engineering & AI
Turn raw data into intelligent decisions.
DataSpyker designs and builds modern data platforms, pipelines, and AI systems. We help teams move from scattered data to reliable analytics and production-grade machine learning.
Data EngineeringSnowflakePythonData AnalyticsData ScienceAI Solutions
About DataSpyker
A data engineering studio built for the AI era
We partner with engineering and analytics teams to architect the systems that make data trustworthy, accessible, and ready for machine learning. From ingestion to insight, we own the full lifecycle.
Our engineers specialize in cloud-native warehouses, streaming pipelines, and applied AI — combining deep technical craft with a pragmatic focus on business outcomes.
- 120+
- Data pipelines shipped
- 40+
- Enterprise clients
- 8PB
- Data processed monthly
- 99.9%
- Pipeline uptime
Services
End-to-end capabilities, one team
Everything you need to build, operate, and scale a modern data stack.
Data Engineering
Robust ingestion, transformation, and orchestration. We build batch and streaming pipelines that scale with confidence.
Snowflake
Warehouse architecture, performance tuning, and cost optimization. From migration to a mature, governed platform.
Python
Production Python for data workflows, APIs, and automation — clean, tested, and maintainable by your team.
Data Analytics
Semantic models, dashboards, and self-serve analytics that turn metrics into decisions across the organization.
Data Science
Forecasting, segmentation, and experimentation. We deliver models that are measurable and grounded in your data.
AI Solutions
RAG systems, LLM applications, and ML in production — with the evaluation and guardrails to deploy safely.
Website
Fast, modern web experiences and data-driven dashboards — from marketing sites to internal portals that surface your metrics.
Case Studies
Outcomes that move the business
Fraud detection at streaming scale
Built a real-time feature store and ML pipeline processing millions of transactions daily with sub-second scoring.
37% lift in fraud caught, fewer false positives
Demand forecasting for supply chain
Designed forecasting models and an experimentation framework, integrated directly into planners' daily workflows.
22% reduction in stockouts across regions
Technology
The modern data toolkit
We are tool-agnostic and pick the right stack for your goals — then implement it with rigor and documentation your team can own.
Warehouse & Storage
- Snowflake
- BigQuery
- Databricks
- Postgres
- S3
Pipelines & Orchestration
- dbt
- Airflow
- Dagster
- Kafka
- Spark
Languages & Compute
- Python
- SQL
- Scala
- Pandas
- Polars
AI & Machine Learning
- PyTorch
- scikit-learn
- LangChain
- MLflow
- Vector DBs
Contact
Let's build your data platform
Tell us about your data challenges. We'll get back within one business day to scope a path forward.
vaibhav@dataspyker.com
Remote-first · Serving teams worldwide