Our Services

Data Engineering

At DELCU, we turn your raw data into structured, actionable insights. Our end-to-end data engineering services help you build scalable pipelines, optimize data quality, and unlock real-time business intelligence across platforms.

What We Offer
Data Engineering Services We Offer

From architecture setup to pipeline management, DELCU builds robust, enterprise-grade data infrastructures customized to your needs.

Data Lake Architecture

We help you set up secure and scalable data lakes for raw data ingestion, processing, and advanced analytics.

Data Pipelines

Build reliable pipelines for batch and real-time processing across diverse sources and destinations

Data Warehouse Design & Development

Design and implement modern cloud-based or on-prem data warehouses for high-speed querying and analysis.

Master Data Management

Create a single, consistent, and authoritative source of truth across departments, tools, and teams.

ETL/ELT Pipeline Creation

We develop cloud-first backends optimized for AWS, Azure, and GCP deployments. These backends are cost-effective, highly available, and automatically scalable.

Microservices ArchitectureData Migration & Modernization

Seamless migration from legacy systems to modern cloud-native environments, without data loss.

Data Quality & Validation

Ensure data accuracy and completeness through validation, anomaly detection, and cleansing processes.

DataOps Automation

Streamline your data lifecycle with CI/CD workflows, observability tools, and collaboration practices.

Big Data Implementation

Harness the power of big data frameworks like Hadoop, Spark, and Kafka for processing massive datasets.

Why DELCU Leads in Data Engineering

Talk to our data experts to build future-ready architectures and pipelines.

Why choose us

Why DELCU Leads in Data Engineering

With a track record of delivering scalable, secure, and modern data solutions, DELCU enables businesses to unlock actionable insights and power innovation.

  • Over 100+ successful projects
  • Industry-specific best practices
  • Agile delivery with real-time visibility
  • Enterprise-grade data security protocols
Technical Expertise
Other Data & Analytics Solutions We Offer

Beyond Engineering—Toward Intelligence

What We Offer

Our Proven Data Engineering Process

Agile Framework. Measurable Impact.

1

Discovery

Define goals, data sources, and architecture requirements

2

Design

Create data models, flows, and tech blueprint

3

Development

Build & deploy pipelines, infrastructure, and data components

4

Validation

Perform data testing, monitoring, and integrity checks.

5

Optimization

Tune performance, add automations, and scale

Data Integration Tools

Stitch

Fivetran

Apache NiFi

Talend

Airbyte

Data Warehouses & Lakes

Lakehouse (Delta, Hudi)

Azure Synapse

Redshift

BigQuery

Snowflake

Cloud Platforms

Databricks

Google Cloud

Azure

AWS

Streaming Frameworks

Spark Streaming

Flink

Apache Kafka

Orchestration & Monitoring

Prometheus

Prefect

dbt

Apache Airflow

Data Quality & Governance

Collibra

Monte Carlo

Great Expectations

Technologies we use

Technologies Used by Our Data Engineering Experts

Tools We Use to Power Your Data

Industries We Serve

Industries We Cater To

Empowering Data Transformation Across Domains

Health
Travel

Real-time insights for patient care, diagnostics, and compliance.

Transaction monitoring, fraud detection, and risk modeling.

Unified customer views and demand forecasting.

Predictive routing, inventory visibility, and fleet analytics.

Hiring Models

Our Custom Hiring Models

Find the right fit for your goals with our flexible engagement options tailored to your scope, speed, and budget.

Frequently Asked Questions

Everything You Need to Know

Businesses across industries rely on DELCU for our deep data expertise, proven delivery frameworks, and cost-effective execution. We help you improve operational efficiency, unlock insights, and boost digital experiences through scalable, modern data solutions.

DELCU enables hyper-personalized marketing through data segmentation, recommendation engines, predictive analytics, and real-time performance tracking. Our solutions help brands deliver tailored messaging, A/B test campaigns, and optimize conversions based on customer behavior insights.

When applying data science in marketing, we prioritize responsible data use. Ethical concerns include:
- Data privacy and user consent
- Transparency in data usage
- Profiling and targeting implications
- Governance and compliance
- Consent management and opt-in practices
Addressing these helps ensure customer trust and compliant data strategies.

Absolutely. DELCU specializes in designing modular and cloud-native data architectures that scale with your business. We ensure high performance, flexibility, and optimized infrastructure spend through tailored implementation.

DELCU has delivered data engineering solutions for healthcare, fintech, logistics, retail, and education sectors. For example, we built a real-time data warehouse for a healthcare provider, enabling instant diagnostics access, and developed a predictive analytics engine for a fintech firm to reduce loan default risks.