Data Engineering
Services

WebClues is a trusted data engineering company helping startups and
enterprises turn overwhelming volumes of information into reliable
foundations for innovation and strategic decisions.

100+
Pipelines Delivered
30+
Cloud Tools Covered
90%
Faster Data Processing

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Honeywell
enelX
ADNOC
Contis
Aswaaq Online
Peugeot

Who Benefits from
Data Engineering

Data Scientists

BI Developers

AI/ML Engineers

Governance Teams

Data Analysts

Business Analysts

Our Core Data
Engineering Services

Data Pipeline Development

Design and deploy automated data pipelines that move and transform information across diverse systems effortlessly.

ETL and ELT
Services

Implement efficient ETL and ELT workflows to extract, transform, and structure data for analytics platforms.

Real-Time Data Processing

Facilitate low-latency data streaming architectures for instant decision-making and continuous operational visibility.

Data Warehousing Solutions

Build modern data warehouses that consolidate structured datasets and deliver faster, more reliable reporting.

Data Lake
Implementation

Set up scalable data lakes for storing, managing, and analyzing vast amounts of unstructured information.

Cloud Data
Engineering

Tap into AWS, Azure, and Google Cloud to create scalable, cloud-native data engineering infrastructures.

Data Governance
Services

Establish governance frameworks facilitating high data quality, compliance, and secure access across all enterprise systems.

Data Migration
Services

Manage smooth migration of enterprise data into modern platforms without disruption or data loss.

Services Related to
Data Engineering

Data Science

Data Analytics

Big Data Consulting

Cut project delays with a data engineering team delivering 98% on-time solutions.

Proven Track Record

Successful execution of over 100 large-scale data engineering projects.

Scalable Team Structure

Flexible team composition that adapts to evolving project and business needs.

Deep Cloud Expertise

Hands-on experience across AWS, Azure, and Google Cloud infrastructures.

Reliable Data Accuracy

Rigorous validation methods keep enterprise data clean and consistent.

Experience Across Industries

Extensive work with finance, healthcare, retail and technology-driven organizations.

Talk to an Expert

Our Data
Engineering Process

Our Data
Engineering Process

Data Assessment

Evaluate data availability, reliability, and quality to identify opportunities and gaps.

Use Case Mapping

Define business objectives and translate them into clear, data-focused implementation needs.

Solution Design

Plan data flows, integration methods, and storage strategies tailored to project requirements.

Strategic Advisory

Provide direction on scaling, governance, compliance, and technology adoption throughout the lifecycle.

Consulting Handoff

Deliver a complete roadmap, documentation, and transition guidance for execution and maintenance.

Build Your
Data Team

Hire Data Analyst

Hire Data Scientist

Hire Data Engineer

Hire Tableau Developer

Hire Power BI Developer

Data Engineering
Across Industries

Healthcare

  • Patient data integration across systems
  • Real-time ICU monitoring pipelines
  • Clinical trial data consolidation
  • Predictive analytics for readmission risks
  • Medical imaging data management
  • Electronic health record optimization
  • Drug response data tracking

Retail

  • Point-of-sale transaction pipelines
  • Customer purchase history integration
  • Loyalty program data consolidation
  • Seasonal demand forecasting analytics
  • Real-time stock availability checks
  • Sales performance data warehousing
  • Store-level data quality management

Ecommerce

  • Clickstream tracking for user journeys
  • Shopping cart abandonment data analysis
  • Product recommendation engine pipelines
  • Multi-channel sales data integration
  • Order fulfillment performance reporting
  • Pricing optimization data workflows
  • Customer feedback aggregation pipelines

Fintech

  • Fraud detection data pipelines
  • Transaction monitoring in real time
  • Risk model data preparation
  • Credit scoring system integration
  • Compliance and audit data storage
  • Market trend analysis pipelines
  • Investment portfolio data consolidation

Manufacturing

  • IoT sensor data ingestion
  • Production line monitoring dashboards
  • Predictive maintenance data pipelines
  • Supply-side performance analytics
  • Quality assurance data integration
  • Energy consumption reporting workflows
  • Machine utilization efficiency tracking

Data Engineering
Tech Stack

Python

R

SQL

Apache Spark

Airflow

Databricks

Snowflake

Power BI

Tableau

BigQuery

TensorFlow

Scikit-Learn

AWS Glue

AWS Sagemaker

Azure Cognitive Services

Jupyter Notebooks

Data Engineering
Case Studies

Scalable Resume Parsing and Matching
Scalable Resume Parsing and Matching

Built a pipeline that collects resumes from multiple sources, parses structured data (skills, experience, education), and ranks candidates against job descriptions. Optimized high-volume candidate screening using modular, scalable data workflows.

Natural Language to Structured Query System
Natural Language to Structured Query System

Developed a system that translates plain-language inputs into SQL queries. Enabled non-technical users to access enterprise datasets with ease by building a semantic parsing layer connected to structured data backends.

LinkedIn Scraper for HR and Sales Use Cases
LinkedIn Scraper for HR and Sales Use Cases

Created a LinkedIn data extraction tool that gathers candidate and lead data, parses it into structured formats, and syncs with downstream HR or CRM systems. Facilitated automated, rules-based prospecting and filtering.

SERP Scraping and Ranking Monitor
SERP Scraping and Ranking Monitor

Delivered a scraper-based system to collect keyword rankings from search engines. Aggregated results over time, stored them in structured tables, and generated insights to help SEO teams track visibility and trends efficiently.

Hire Data Engineers with Experience Across 20+ Industry Use Cases

Hire Dedicated Developers

Skilled Engineers

Experts in pipelines, warehousing, orchestration, and system reliability.

Faster Onboarding

Deploy production-ready engineers within just 72 working hours.

Scalable Teams

Easily ramp resources up or down as per requirement.

Domain Expertise

Trained in solving data problems across key industries.

Modern Stack

Experienced with Spark, Kafka, Snowflake, Airflow, and dbt.

Hire Data Engineers
Hire Dedicated Developers

Data Engineering
Client Stories

"Their ability to start quickly and hit the ground running is outstanding. Internal stakeholders are quite pleased with the value WebClues Infotech delivers. They’ve earned a reputation for on-time deliveries that fulfill initial requirements. Their diverse skills and ability to dive into new projects are also noteworthy."

Mike Lanzone
Mike Lanzone

CEO - Atlanta, USA

Thomas Clausen
Thomas Clausen

CEO, Denmark

Asier Recondo
Asier Recondo

CTO, Spain

Why Choose Us Our Data
Engineering Services

Modern office interior

Multi-Platform Delivery

Process-Led Execution

Cloud-Native Builds

Stack-Friendly Teams

Data Lifecycle Focus

Structured Delivery Plans

Frequently Asked Questions

As a data engineering company, we focus on building systems that actually work in production. Our teams align with business goals, design stable architectures, and provide clarity at every step. Clients choose us because we keep projects practical and measurable, without unnecessary complexity or jargon that often slows down adoption.

Our data engineering solutions are designed to support large organizations with many moving parts. We build architectures that keep performance consistent, connect information across different departments, and manage high data volumes without interruptions. This approach helps enterprises keep systems reliable while leaving room for growth as demands increase.

Big data engineering services focus on storing and processing very large and varied datasets. We create data lakes, design high-speed ingestion pipelines, and support analytics teams that need quick access to information. This gives organizations the foundation to analyze large amounts of information without losing sight of accuracy or speed.

Yes, we handle both data pipeline development and ETL services. Data pipelines automate how information moves across systems, while ETL processes extract, reshape, and load information into formats that are ready for use. This combination keeps data consistent and accessible for analysts, developers, and decision-makers across the organization.

We work with real-time data processing as part of our cloud data engineering services. This allows teams to act on live information, whether that's financial transactions, IoT sensor data, or supply chain activity. By setting up reliable streaming pipelines on AWS, Azure, or Google Cloud, organizations gain immediate visibility.

Our data warehousing services are closely linked with data governance services. We set up warehouses that hold structured, query-ready datasets and build governance rules around them. These rules define who can access data, how quality is checked, and how compliance requirements are met. This gives businesses confidence in reports and analytics.

Contact
Information

India

Ahmedabad

1007-1010, Signature-1,
S.G.Highway, Makarba,
Ahmedabad, Gujarat - 380051

Rajkot

1308 - The Spire, 150 Feet Ring Rd,
Manharpura 1, Madhapar,
Rajkot, Gujarat - 360007

UAE

Dubai

Dubai Silicon Oasis, DDP,
Building A1, Dubai, UAE

USA

Atlanta

6851 Roswell Rd 2nd Floor,
Atlanta, GA, USA 30328

New Jersey

513 Baldwin Ave, Jersey City,
NJ 07306, USA

California

4701 Patrick Henry Dr. Building
26 Santa Clara, California 95054

Australia

Queensland

120 Highgate Street,
Coopers Plains,
Brisbane, Queensland 4108

UK

London

85 Great Portland Street, First
Floor, London, W1W 7LT

Canada

Burlington

5096 South Service Rd,
ON Burlington, L7l 4X4

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