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Data Engineering Services That Turn

Raw Data into Real Growth

Let's Get Started

Data Engineering Services Built to

Fuel Faster & Smarter Decisions

Your data isn't just a by-product of business. It's the fuel for your next level of growth. But raw data alone won't get you there. You need systems, architecture, pipelines, and governance that turn chaos into clarity and potential into profit. At CodeLogicX, we engineer ecosystems that let you see what's possible, act decisively, and stay ahead.

We partner with you to design and deploy the full data lifecycle: from ingestion of disparate data sources to clean and scalable storage, from building real-time or batch pipelines to architecting data lakes, data warehouses, marts, and platforms. Whether your infrastructure lives in AWS or Azure (or you're moving toward the cloud), we package everything you need (strategy, implementation, optimization) into a seamless data engineering service built for your unique needs.

Our offerings go beyond mere plumbing. You'll get actionable roadmaps, airtight security and governance, and data frameworks that unlock real operating leverage. Need streaming ETL, batch processing, or platform evaluation? We bring seasoned architects and engineers to design data engineering solutions that support growth, not just for today, but for tomorrow.

What you gain: decision-making speed, cross-team collaboration without data silos, streamlined operations, heightened trust in your data, and compliance you can count on. Let's build the engine behind your insights, so your business can do more, move faster, and make every move count.

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Our Data Engineering Services

Data Strategy & Consulting

We help you create a crystal-clear strategy, from enterprise-wide transformation roadmaps to cloud adoption blueprints. Whether it's evaluating platforms, shaping your cloud data strategy, or defining the enterprise data playbook, we set the foundation that ensures your investment in data pays off with speed, scale, & certainty.

Modern Data Pipelines & Processing

Your business runs on data in motion, not data stuck in silos. That's why we design and implement production-grade pipelines for both batch and real-time processing. From advanced ML pipelines to ETL/ELT workflows, we architect and deploy cloud-native pipelines that deliver the right data to the right teams, at the right moment.

Data Storage & Architecture

We design data lakes, warehouses, and cloud storage solutions tailored to AWS, Azure, and hybrid environments. Whether it's cost-effective scalability or lightning-fast query performance, our architects build storage systems that flex with your business and fuel advanced analytics without compromise.

Governance, Security, and Data Ops

We engineer enterprise-grade data governance frameworks, from master data management to AWS/Azure-specific governance, with airtight controls and security baked in. Paired with DataOps best practices, we deliver high availability, CI/CD pipelines, and proactive monitoring to keep your data operations always-on and always-secure.

Cloud Transformation & ML Engineering

We modernize infrastructure to improve agility and cut costs, without sacrificing SLA or data quality. And for businesses ready to scale AI, our ML engineering team takes you from proof-of-concept to production with robust & enterprise-ready models that accelerate ROI across brands & locations.

Data Mesh Architecture Implementation

With Data Mesh, ownership shifts to the business domains. Each team manages its own data products, creating a decentralized and domain-driven architecture built for speed & scale. We also design self-serve data platforms that cut bottlenecks, accelerate insights, and give enterprises the agility they've been chasing.

Data Lakehouse Platform Design

Why settle for one when you can have both? Lakehouse architecture merges the flexibility of a data lake with the reliability of a warehouse. We build Delta Lake, Iceberg, and other lakehouse solutions that power BI and machine learning from a single and trusted source, delivering faster analytics, unified data, and true AI readiness.

Data Fabric Integration

Your data lives everywhere (on-prem, in clouds, across applications), and a Data Fabric makes it all work together. We connect distributed sources into a unified virtual layer, powered by knowledge graphs and data virtualization. That means real-time access, consistent governance, and security baked in across every system.

Real-Time Streaming Analytics

Decisions made tomorrow are already too late. That's why we engineer event-streaming platforms with Kafka, Flink, Kinesis, and Pulsar, so you get insights the second data moves. From anomaly detection to dynamic dashboards, we enable continuous intelligence at scale.

Data Observability & Monitoring

Pipelines break, and data goes stale. Without observability, you're blind to it. We deploy end-to-end monitoring tools that track health, freshness, and anomalies across every workflow. Think of it as “control towers” for your data, alerting you the moment something goes wrong & guiding you straight to the fix. That's how you keep data reliable, pipelines resilient, & downtime near zero.

Data Quality & Validation Frameworks

Bad data kills trust. We build quality frameworks with tools like Great Expectations and dbt to validate accuracy, completeness, and freshness automatically. Dashboards show you what's clean, what's suspect, and what needs fixing.

Enterprise Data Catalog & Metadata Management

Most teams don't know what data they actually have. We change that. By implementing enterprise catalogs, we give you a living inventory of every dataset, schema, owner, and business definition across your ecosystem. Rich metadata boosts discoverability, trust, and reuse. Your people stop hunting for data and start using it.

Data Lineage & Impact Analysis

When a number looks wrong, you shouldn't have to guess where it came from. With automated lineage tracking, we map every transformation from source to dashboard. That means you can trace errors to their root cause, understand downstream impact, and roll out changes without breaking reports.

Semantic Layer & Self-Service BI

We build semantic layers that standardize KPIs across the business, so “revenue” means the same thing everywhere. Paired with BI integrations in Tableau, Power BI, & Looker, we unlock true self-service analytics, where non-technical users explore & act on trusted data without waiting on IT.

Feature Store & ML Collaboration Infrastructure

Data science without a feature store is controlled chaos. Models train on one dataset, deploy on another, and accuracy crumbles. We solve that with centralized feature stores like Feast, ensuring training and inference run on the same and consistent data.

Why

Choose Us?

When the stakes are high, you don't want just another vendor. You want a partner with the proven firepower to turn complex data into business clarity. Here's why businesses worldwide choose us:

Unmatched Human Capital

With 10+ years of combined experience in advanced data systems, our teams engineer business intelligence that drives decisive and data-powered action.

Robust Expertise

We've mastered the tools that turn raw data into insights leaders can trust.

Flawless Integration

We implement well-defined APIs that make datasets flow seamlessly across platforms, ensuring your analytics never miss a beat.

Cross-Industry Reach

Flexible engagement models mean we've solved problems everywhere — finance, retail, healthcare, logistics, you name it.

Cloud-Native Expertise

We engineer data solutions that run flawlessly across AWS, Azure, and Google Cloud, built for scale, speed, and security.

Our Industry-Specific

Data Engineering Services

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icon Retail & E-commerce

Retailers live or die by how fast they react to customers. That's why we build Customer Data Platforms (CDPs) that pull together browsing behavior, point-of-sale data, loyalty activity, & logistics feeds into unified customer profiles. With this, retailers deliver hyper-personalized offers, forecast demand down to the product level, & run dynamic pricing that reacts in real time to market shifts. Meanwhile, supply chain tracking keeps shelves stocked & customers informed.

icon Transport & Logistics

Global supply chains break under pressure when visibility is missing. That's why we build unified data infrastructures that tie procurement, production, inventory, & logistics into one seamless view, in near real time. Managers see the entire chain at a glance, spot bottlenecks before they snowball, & act on demand shifts before competitors even notice. Predictive models optimize inventory levels, IoT sensors track deliveries in transit, & automated ETL pipelines keep every stakeholder working from one single source of truth.

icon People & HR

HR has more data than ever. But scattered across payroll, recruiting platforms, performance tools, and engagement surveys, it often sits untapped. We change that. By engineering integrated HR data platforms, we give organizations a single source of truth about their people. Suddenly, analytics can reveal trends in performance, predict attrition before it hits, & spotlight what drives engagement. Predictive models warn you which top performers might walk out the door, while automated dashboards give leadership real-time workforce health. From smarter talent acquisition to laser-focused retention strategies, HR becomes less about gut feel & more about data-powered decisions.

icon Healthcare

In healthcare, data saves lives if it's managed right. We engineer infrastructures that securely merge EHRs, lab results, imaging files, pharmacy records, and IoT device streams into one trusted platform. Clinicians get a full patient view without hunting across systems. Real-time monitoring triggers instant alerts when vitals cross dangerous thresholds. Predictive analytics identifies readmission risks & disease progression, while operational analytics optimize staffing, bed usage, & even surgical schedules. And when precision medicine calls for tailored treatments, our platforms combine genomics & patient history to guide targeted therapies. This is a data engineering service with a human impact.

icon Fintech

Every second counts in finance. Markets move in microseconds, fraud happens in real time, and regulators demand flawless reporting. That’s why data engineering services are mission-critical. We design low-latency infrastructures capable of ingesting streams from trading systems, customer accounts, and risk databases, all in real time. With this, traders execute faster, risk teams see exposure instantly, & compliance officers file reports without sleepless nights. Advanced analytics ride on top of this unified data, spotting hidden patterns, predicting risks, & flagging fraud before it bleeds into losses. From live market data processing to automated compliance pipelines, this is the technical foundation that powers smarter trades, stronger defenses, & sharper investment strategies.

Our Data Engineering Process

Our Data Engineering approach transforms scattered data into structured intelligence, step by step. From defining business goals to building pipelines and automating delivery, we engineer systems that move fast, scale easily, and deliver insights you can trust.

Define & Discover

We start by aligning with your business goals & translating them into clear technical requirements that drive measurable outcomes.

Assess & Integrate

We identify every critical data source & integrate them into a unified & high-value foundation.

Build Scalable Infrastructure

We architect data lakes and warehouses on AWS, Azure, or GCP that scale effortlessly & keep your data organized, secure, & accessible.

Engineer & Automate Pipelines

Our team designs intelligent pipelines that clean, transform, & move data seamlessly, with automation & DevOps baked in.

Test, Optimize & Deliver

We validate performance, fine-tune for speed & accuracy, and ensure your data ecosystem runs reliably from ingestion to insight.

Case Study

Our case studies are living proof that when data is engineered right, it drives measurable business outcomes.

Explore them and see the transformation for yourself.

Let's Get Started

Frequently Asked Quesions

Think about every personalized ad, dynamic price, or fraud alert you see. That's Data Engineering service. The world's largest tech companies use it to streamline data, optimize supply chains, detect anomalies in real time, & give customers the kind of seamless digital experience they now expect as the standard.

Without proper engineering, analytics fail, compliance risks increase, & AI models collapse. Data Engineering Service turns raw streams into the lifeblood of your business.

Are You Ready to Turn Your

Data into a Competitive Edge?

With the right Data Engineering Service in place, your pipelines run automatically, your systems stay synced, & your decisions are powered by trusted, real-time insights.

Get Started Today