Data Engineering
Unlock the power of data with robust engineering that drives real-time insights, scalable systems, and business-wide impact.
Why Data Engineering Matters
From data to decisions
Raw data has no value until it’s cleaned, organized, and delivered. Our data engineering turns noise into trusted insights.
Scale without chaos
As your data volume grows, so do complexity and latency. Our architecture ensures performance, reliability and maintainability.
Enable advanced analytics & AI
Data pipelines built right make machine learning, dashboards, BI, and predictive analytics possible - and repeatable.
Reduce costs & risk
Poor data handling creates rework, errors, compliance issues. We build systems that reduce waste, ensure governance, and avoid surprises.
What We Do
We partner with you across the full lifecycle of a data platform. Our core services include:
Data Architecture & Strategy
Define data models, storage, data lake / warehouse strategy, data governance, compliance.
Key Outcomes
Clear blueprint, cost predictions, risk mitigation.
Data Pipeline Design & Implementation
Ingestion, ETL/ELT, streaming vs. batch, data validation, error handling.
Key Outcomes
Reliable pipelines, reduced latency, less downtime.
Data Infrastructure & Engineering
Cloud/on-prem setup, data storage & compute, choosing tools (Spark, Kafka, Airflow, etc.), scaling.
Key Outcomes
Infrastructure that scales, stays manageable.
Data Quality & Governance
Monitoring, lineage, security, data privacy, master data management.
Key Outcomes
Trust in data, compliance with regulations.
Real-Time & Streaming Data
Event-driven architectures, stream processing, low latency systems
Key Outcomes
Faster insights, up-to-the-moment capabilities.
Analytics & BI Enablement
Build data marts, dashboards, self-service analytics layers so non-technical users can explore data.
Key Outcomes
Faster insights; business teams empowered.
Our Process
We follow a structured but agile process to deliver data engineering solutions that align with your goals
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Discovery & Requirements Gathering
We work with your business, analytics, and operations teams to understand data sources, data uses, performance needs, current gaps, and future vision. -
Architecture & Design
We propose scalable, secure, cost-optimized architectures (data lake, data warehouse, streaming, batch) tailored to your needs. -
Prototype / MVP
Build a minimum viable pipeline or dataset to test assumptions. Validate ingestion, transformations, data quality, performance. -
Full Build & Integration
Develop, test, and integrate full-scale pipelines, infrastructure provisioning, monitoring, and governance frameworks.
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Testing & Validation
Data correctness, performance under load, resilience, compliance audits, data lineage and lineage tracking -
Deployment & Scaling
After migration, continuously monitor and optimize the client's cloud resources to ensure that they are getting the most value for their investment.Roll out in production, monitor, optimize, handle scale, anticipate maintenance and expansion. -
Operations, Monitoring & Continuous Improvement
Set up dashboards, alerting, logging; conduct periodic reviews; evolve pipelines as needs change.
Why Choose Us
- Proven Expertise: Engineers with deep experience handling large datasets, streaming systems, ML/AI pipelines, and cloud infrastructure.
- Modern Tools & Tailored Solutions: We pick the right tools — open source or enterprise — to match your scale, budget, and compliance requirements.
- Security & Governance Built In: Not an afterthought. We emphasize data governance, lineage, privacy, and compliance with industry standards.
- Cost-Effective & Transparent: Early architecture decisions to manage cost; clear trade-offs; predictable delivery.
- Business Impact Focused: We don’t just build pipelines — we ensure they enable insights, decisions, ROI.
Find out what
Periscope can do for you.
Our Partner
Ecosytem
Industry Expertise
Our Clients
