Data Engineering and Analytics
Organize, clean and transform your data to make it useful to business. Data engineering takes up 80% of the time of all data projects, and our rapid tool kit cuts that time by half.
We build scalable data pipelines, implement intelligent platforms, and create interactive dashboards that turn your data chaos into clarity. From collection to visualization, we make your data work for you.
Here's what
we offer
End-to-end data and analytics solutions. From engineering robust pipelines to delivering actionable insights.
Data Engineering & ETL Pipelines
Build scalable data pipelines that automate collection, transformation, and loading from multiple sources.
Batch processing
Process large datasets on schedule with Apache Spark, Airflow, and data orchestration tools.
Real-time streaming
Ingest and transform data in real-time using Kafka, Kinesis, or Azure Stream Analytics.
Data lake setup
Build scalable data lakes on S3, Azure Data Lake, or GCS for raw and processed data.
API integrations
Connect to CRM, ERP, marketing platforms, and custom data sources with automated sync.
Data Warehousing & Integration
Centralize your data with modern warehouses like Snowflake, BigQuery, or Redshift.
Data consolidation
Unify data from multiple databases, SaaS tools, and legacy systems into a single source of truth.
Schema design
Optimize warehouse schemas for query performance with star/snowflake models and partitioning.
Historical tracking
Implement slowly changing dimensions to track historical changes and analyze trends over time.
Multi-tenant warehouses
Design isolated data environments for different clients or business units with shared infrastructure.
Analytics & Visualization Dashboards
Interactive dashboards with Power BI, Tableau, or custom solutions that tell your data story.
Executive dashboards
High-level KPI tracking with drill-down capabilities for C-suite decision making.
Sales analytics
Track pipeline, conversion rates, and revenue trends with forecasting and goal tracking.
Customer insights
Analyze user behavior, cohorts, retention, and lifetime value with interactive visualizations.
Operational reports
Monitor daily operations, inventory, logistics, and performance metrics in real-time.
Real-Time Data Monitoring
Stream processing and real-time analytics for time-sensitive business decisions.
Fraud detection
Monitor transactions in real-time and flag suspicious activity with ML-powered alerts.
IoT analytics
Process sensor data from devices and equipment for predictive maintenance and optimization.
Website analytics
Track user behavior, conversion funnels, and engagement metrics in real-time.
Alerting systems
Set up intelligent alerts for anomalies, threshold breaches, and critical business events.
Predictive Analytics & ML
Machine learning models that forecast trends and identify opportunities before they happen.
Demand forecasting
Predict product demand and optimize inventory levels with time-series models.
Churn prediction
Identify at-risk customers and take proactive retention actions before they leave.
Price optimization
Use ML to find optimal pricing strategies that maximize revenue and conversions.
Customer segmentation
Cluster customers into segments for targeted marketing and personalized experiences.
Data Governance & Quality
Ensure data accuracy, security, and compliance with automated quality checks.
Data validation
Implement automated quality checks to detect anomalies, duplicates, and inconsistencies.
Access control
Define role-based permissions and audit trails for sensitive data access.
Compliance reporting
Generate audit reports for GDPR, CCPA, HIPAA, and other regulatory requirements.
Data lineage
Track data from source to destination with full visibility into transformations.
Looking for something else or not sure what you need yet?
Our Data Engineering Approach
We build data solutions that scale with your business—combining speed, reliability, and cost-efficiency through proven frameworks and modern tooling.
Data Engineering
Framework
1Scalable Pipeline Architecture
Design and deploy high-performance data pipelines that handle growing volumes without breaking.
2Smart Data Modeling
Structure your data for speed and flexibility using proven modeling patterns tailored to your use case.
3Automated Quality Checks
Catch data issues early with built-in validation, monitoring, and anomaly detection at every stage.
4Seamless Integrations
Connect your tools and platforms with native connectors and custom APIs that work reliably.
5Security & Compliance First
Protect sensitive data with encryption, access controls, audit logs, and compliance-ready frameworks.
Areas of Expertise
Comprehensive data engineering solutions tailored to your business needs
Advantages of Being a Data-driven Organization
Leverage the power of advanced analytics to transform your raw data into actionable insights, driving growth, efficiency, and innovation across your entire enterprise.
Our Best-in-class Technology Stack for Data Engineering
Let's talk
business.
But you first.
Describe your idea. The more details the better. Here's what will happen next: we reply within 3 business hours; together we discuss your project on a quick call; you get a nicely presented quote from Escalo.