Data Engineering

We design and build data pipelines that actually work in production — not just in a demo. Whether you're pulling from APIs, databases, event streams, or flat files, we make sure your data lands where it needs to, in the format your teams expect, on a schedule you can trust.

  • Ingest data from databases, APIs, SaaS tools, and file systems into a unified store
  • Auto-scaling pipeline architecture that handles 10x traffic spikes without manual intervention
  • Stream processing with sub-second latency using Kafka, Flink, or Spark Streaming
  • Distributed compute on Spark and Hadoop clusters for terabyte-scale transformations
  • ETL/ELT pipelines with built-in data validation, retry logic, and alerting
  • Orchestration with Airflow or Step Functions to keep dependencies and schedules in check
Data Engineering
Data Analytics

Data Analytics

Good analytics means your team stops guessing and starts knowing. We build dashboards, models, and reporting systems that answer the questions your business actually asks — from daily operational metrics to long-range forecasting.

  • Live dashboards that surface KPIs and anomalies as they happen
  • Interactive visualizations in Tableau, Power BI, or Looker connected to your data warehouse
  • Predictive models built on your historical data — churn, demand, fraud, pricing
  • Self-service analytics layers so business users can query without filing tickets
  • Automated reporting pipelines that deliver the right numbers to the right people on schedule
  • Cloud-native data warehouses on Snowflake, BigQuery, or Redshift tuned for fast queries at scale

Data Governance

Without governance, data rots. Teams duplicate datasets, nobody agrees on definitions, PII ends up where it shouldn't, and audits turn into fire drills. We put the policies, tooling, and ownership structures in place so your data stays accurate, secure, and compliant as you scale.

  • Access controls, encryption standards, and PII handling policies mapped to GDPR, HIPAA, or SOC 2
  • Automated compliance checks and audit trails so you're always ready for review
  • Data quality rules enforced at ingestion — catch bad data before it reaches your reports
  • Centralized data catalog with lineage tracking so every team knows what exists and where it came from
Data Governance
Big Data

Big Data

When your data outgrows a single database, you need a different architecture. We design and operate big data platforms that handle terabytes to petabytes — ingesting, transforming, and serving data fast enough to keep up with your business.

  • Spark and Hadoop clusters sized for your workload, running on AWS EMR, Dataproc, or Azure HDInsight
  • Real-time analytics on streaming data with sub-minute latency for operational dashboards
  • Data lake architecture on S3, ADLS, or GCS with cost-optimized storage tiers
  • Batch processing jobs that crunch millions of records nightly for reporting and ML training
  • Kafka-based event streaming for clickstream, IoT, and transaction data at hundreds of thousands of events per second
  • Unified compute with Databricks or Synapse to run analytics and ML workloads on the same platform