Data Engineering & Analytics
Turning Data Into Advantage
At Sigmacro Technologies, we build data foundations that your business can trust—clean, governed, secure, and analytics-ready. From multi-source ingestion and lakehouse architecture to real-time streaming and AI-grade feature stores, we design end-to-end data ecosystems that convert raw data into decisions, faster.
Our
Our Evolution
Enterprise Data Management & Governance
We make data a governed, secure, and AI-ready asset. With clear ownership, SLAs, golden records, and automated lineage, every insight comes from a single source of truth. Our MDM unifies customers, products, and assets, while policy-as-code safeguards PII/PHI and compliance.
Data Architecture, Lakehouse & Pipeline Engineering
We build modern lakehouse and warehouse platforms (Databricks, Snowflake, BigQuery, etc.) with medallion patterns and cost-aware design. Our ETL/ELT pipelines handle both batch and streaming data, ensuring seamless flow into BI dashboards, predictive models, and AI applications.
Real-Time Analytics, BI & AI Decisioning
We deliver low-latency analytics for fraud detection, personalization, IoT, and supply chain optimization. Leveraging advanced analytics platforms, AI-powered anomaly detection, and predictive modeling, we enable instant, data-driven decisions. From executive dashboards and real-time alerts to fully automated workflows.
AI-Ready DataOps & MLOps
We build AI readiness into every stage of your data lifecycle—integrating feature stores, model registries, automated testing, and CI/CD pipelines for machine learning. Our approach ensures models are continuously trained, validated, and deployed with precision. We deliver AI solutions that remain accurate, & compliant.
Cloud Data & Analytics Stack
We leverage leading cloud data platforms like Databricks Lakehouse, Snowflake, BigQuery, Redshift, and Microsoft Fabric/Synapse, paired with integration and orchestration tools such as Spark, dbt, Airflow, Dagster, Kafka, Kinesis, Pub/Sub, ADF, Glue, and Dataflow. Our governance and lineage frameworks use Purview, Collibra, Alation, and native catalogs alongside Lake Formation or Ranger, ensuring secure tokenization, masking, and KMS encryption. For data quality and observability, we deploy Great Expectations, Soda, and Monte Carlo-style monitors, while security and compliance are reinforced through encryption at rest/in transit, fine-grained ABAC/RBAC access, audit trails, and private connectivity.
Business-First Architecture
We start with outcomes and KPIs, then engineer the data products to serve them so insights land where work happens.
Governance Without Friction
Cataloging, lineage, privacy, and quality are built in (not bolted on). Stewardship is part of delivery, not a later project.
Platform-Native & Cloud-Smart
We leverage the best of Databricks, Snowflake, BigQuery, Redshift, and Fabric/Synapse with cost-aware design and autoscaling.
Operational Excellence
CI/CD for SQL and Spark jobs, reusable transformers, test suites, and observability ensure stability at scale.
Compliance-Ready
PII/PHI handling, consent & retention policies, encryption, key management, and auditable access aligned to your regulatory needs.
Reusable Accelerators
Ingestion blueprints, quality templates, KPI stores, and domain data models cut your time-to-value dramatically.
Top
Projects
Delivered
Predictive Healthcare Diagnostics
For a multi-specialty hospital network, we implemented a DataOps + MLOps pipeline that ingested patient EMR data in near real-time, processed it through feature engineering, and deployed AI models for disease risk prediction. Automated CI/CD ensured updated medical guidelines were integrated into models without downtime, improving diagnosis accuracy by 22%.
Retail Demand Forecasting
We built a centralized feature store for a nationwide retail chain, integrating sales, weather, promotions, and regional event data. Our automated retraining pipeline, coupled with real-time data validation, enabled precise weekly demand forecasts. This reduced inventory wastage by 18% and improved shelf availability during peak demand periods.
Financial Fraud Detection
For a leading fintech platform, we developed a low-latency fraud detection system leveraging streaming transactions, behavioral features, and anomaly detection models. The MLOps pipeline supported rapid model deployment, enabling immediate adaptation to emerging fraud patterns. This reduced false positives by 30% while cutting fraud-related losses by millions annually.
Get in touch
for inquiries
Whether you have questions, need support, or want to explore business opportunities, our team is here to assist you.
India | United Kingdom
Quick Link
Contact
Phone
+91-90682135009
business@sigmacro.com
Address
Pune | Dehradun | New Delhi |
2021
