Data Engineering Services

Technoligent offers various data engineering services for enterprises. We cover data warehousing, data integration, ETL (Extract, Transform, Load) processes, data modeling, database management, the implementation of big data solutions, and more.

We help you with fast scalable actionable insights through modern data platforms and improve your data infrastructure.

  • 12+ years of experience with all development technologies.
  • Access to a team of 30+ certified full-stack big data developers & data engineers.
  • 100% consistent and proven track record of meeting project deadlines.
  • Hands-on experience with a total of thousands of development hours.
  • India's Top 5% of talent and time-zone-friendly team.
Contact Us
Data Engineering Services
TRUSTED BY GLOBAL CLIENTS

Our Core Competencies In Data Engineering Services.

Customized Data Engineering Solution

Expert Team Composition

  • A diverse team of data scientists and engineers.
  • Team Skilled in business intelligence and data analysis.
  • Experienced data architects and modelers.
  • Top machine learning developers.
Data Engineering As A Service

Programming and Language Proficiency

  • Expert in Spark, R, Python, and Scala.
  • Expertise in Java and related technologies.
  • Proficiency in SQL and NoSQL query creation.
  • Capability in MapReduce, Pig, and Hive scripting.
Enterprise Data Lake Engineering Services

Data Processing and Analytics Tools

  • Hands-on experience with the Hadoop ecosystem.
  • We can expertly use Hive and Kafka platforms.
  • We are Skilled in ETL development and data integration.
  • Expertise in data architecture design.
Data Integration Engineering Services

Machine Learning and AI Capabilities

  • Utilization of Apache Spark MLlib for ML tasks.
  • Implementation of Azure Machine Learning solutions.
  • Data mining.
  • Development using Keras for neural networks.
Data Analytics Integration

Data Visualization Expertise

  • Creation of stunning dashboards with Power BI.
  • Advanced data storytelling using Tableau.
  • Proficient in Google Data Studio visualizations.
  • Custom visualization development capabilities.
Data Workflow Management

Best Practices and Methodologies

  • Implementation of data engineering best practices.
  • Transformation of raw data into actionable insights.
  • Scalable data pipeline design and maintenance.
  • Adherence to data processing system standards.

Data Engineering As A Service

At technoligent data support for business is made easy with customized data tools and adaptable infrastructure. We offer data engineering as a service solution and manage all the complex data work.

Companies can use the valuable information to make smart decisions without getting bogged down in technical details. Our clients can benefit from their data without having to become data experts themselves.

  • Integrate data from multiple sources efficiently.
  • Scale data processing to meet growing needs.
  • Maximize the value of existing datasets.
  • Data workflow simplification and Valuable data analytics.
Dev Partner

Technoligent Services In Data Engineering

We provide our services with data engineering expertise to future-proof your business.

image

Data warehouse and enterprise data Lake Management

  • Build centralized, secure data warehouse solutions and data storage systems.
  • Enable advanced analytics for better business outcomes.
  • Give expert support for ongoing data lake operations.
  • Improve data accessibility and retrieval speed.
image

Cloud Engineering/ Data Engineering consulting

  • Pinpointing improvement areas.
  • Experienced roadmap definition.
  • Optimal platform strategy formulation.
  • Sustainable data ecosystem planning.
  • Fast cloud migration approaches.
image

Data Architecture and Integration

  • Custom scalable architecture design.
  • Unified system for diverse data sources.
  • Seamless legacy to modern migration.
  • Enhanced data coherence for analysis.
image

Data Processing and Transformation

  • Efficient ETL process development.
  • Data quality improvement techniques.
  • Big data handling and management.
  • Real-time streaming data processing.
image

Pipeline and Workflow Optimization

  • Automated data pipeline creation.
  • Streamlined workflow management.
  • Secure, tune, and manage your database.
  • Instant streaming data storage.
image

Data Governance and Migration

  • Data governance framework setup.
  • Reliability enhancement strategies.
  • Data integrity maintenance protocols.
  • Downtime-free system transitions.
image

Advanced Analytics solutions/ Big Data processing

  • Large-scale dataset processing.
  • Business-aligned data structures.
  • Actionable insight generation.
  • Real-time data analysis capabilities.
image

System Performance and Adaptability

  • Scalable architecture implementation.
  • Adaptable business-centric designs.
  • Efficient data source integration.
  • Modernized data environment creation.
Dev Partner

Technoligent Tech Stack Expertise

The technoligent team helps companies with both immediate results and long-term value in data engineering using the right framework for your needs. We stand out in Our services not only by solving today's data problems but also by positioning clients for continued success as data needs to evolve.

Client Testimonials

Explore The Benefits Of Our Data Engineering Solutions

  • Unlock smarter decisions with organized, real-time data insights.
  • Boost confidence with cleaned, validated information.
  • Speed up processing, and cut costs with optimized systems.
  • Scale effortlessly as your data needs grow.
  • See the big picture by combining diverse data sources.
  • Save time through smart automation of repetitive tasks.
Dev Partner

Questions You May Have

Data engineering is all about creating the systems that help businesses make sense of their data. It's like building a smart filing system for digital information.

The key aspects include:

  • Data collection.
  • Data storage.
  • Data processing.
  • Data pipeline development.
  • Scalability.

Yes, we do help businesses with data migration to cloud platforms such as Google, AWS, and Azure. We look at your current data setup. Then we plan how to move it safely. We carry out the move with little disturbances to your work.

Our data engineers or experts can manage many types of data including structured, unstructured, and semi-structured. We are great at working with all types of data from databases, text files, social media APIs, etc.

Data engineering and data science both work with data but have different main work. They often work together. Data engineers craft systems to collect and store data. Data scientists use math and statistics to find useful information in that data.