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Reshape Your Data Operations for Greater ROI with Our Data Engineering Services

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Ever stared at your screen thinking,
“What even is this data mess?”

Yeah, we get it. Data can feel like a maze, confusing, cluttered, and hard to navigate. Endless spreadsheets, disconnected systems, scattered reports. It’s just like staring into space without a map. We’re not here to flood you with tech talk. We’re here to simplify things, clear the mess, and help you get the real valuable insights hidden in your data.

9+

Years of Experience

97%

Client Satisfaction Rate

130+

Project Handled

45%

Average ROI Improvement

Why Choose Complere?

Imagine running a powerful system surrounded by messy,
unorganized data. At Complere, we equip you with the right tools
and support to turn that chaos into clear insights. So, your business
can make smarter decisions and grow faster. 

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New opportunities and success are just a click away.
Click here for expert consultation 

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What Our
Clients Say

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It has been a delightful experience working with Complere Infosystems. The team is very talented and management is hands on involved with the project. When time comes to put in extra hours to resolve any production issues, the team has always stepped up to resolve it. I know I can rely on them at all times.


Charan
Charan

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Complere team is all star team in Data engineering game. Not only they are technically competent in latest and greatest tools and architecture but they are extremely delivery focused. Complere team takes time to understand the business need and implement solutions which are future ready.


Vivek Dabke
Vivek Dabke

EON Collective

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Isha did some amazing ETL work for us, was always available when needed, and was ready and able to find great solutions to a lot of our data problems.


Zalman Fine
Zalman Fine

System Implementation Manager

Why Do Organizations Need
Data Engineering Services Today? 

Because today, everything runs on data. But raw data on its own? It’s just a bunch of scattered bits, full of potential, but meaningless until it’s captured, organized, and turned into something valuable. 

Improves Data Quality
Supports AI Integration
Addresses Data Compliance & Security Concerns
Breaks Siloed Data
Develops Scalable Infrastructure
Fuels Innovation

Here’s What Happens
When Organizations Lack
Data Engineering

Imagine a business with huge potential but buried under disorganized data. Different departments store data separately with no easy way to share it. This leads to confusion and inefficiency.

Marketing struggles because sales data doesn’t sync with analytics tools.

Operations rely on outdated data, missing key insights from the supply chain.

Decision-making is based on guesswork with inaccurate or incomplete information.

Security threats: Disorganized data is unprotected and vulnerable to breaches, risking sensitive information and compliance issues.

Don't fear the risks. Click here and let us help you avoid costly mistakes and guide you to success

Contact Us

Our Core Data Engineering Expertise

We don’t just manage your data, we make it work harder, smarter, and faster for your business.

Data Migration

Data Activation

Maintaining Data Quality

Data Warehouse Consulting

Industry-Specific Customization

Data Governance

Data Lake Consulting


Success
Story

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Challenge
Multiple partner firms were sharing data related to AUM, Net Flows, and Cash Flows. However, the data formats varied significantly across firms, leading to challenges in ingestion, mapping, and analysis. This made it difficult to perform unified reporting and cross-firm comparisons. There was a pressing need for a consolidated dashboard to standardize and visualize the data from all firms in one place.
Solution
We implemented a standardized data processing pipeline using the Bronze-Silver-Gold architecture on Databricks:
  • Bronze Layer: Ingested raw data from all 8 partner firms in their original formats.
  • Silver Layer: Performed data cleansing, transformation, and mapping to bring in a standard structure.
  • Gold Layer: Merged all firms’ standardized data into a single unified model.
  • Finally, we developed an interactive dashboard on top of the Gold Layer, providing a consolidated view of AUM, Net Flows, and Cash Flows across all firms.

    Success Story

    Challenge
    Multiple partner firms were sharing data related to AUM, Net Flows, and Cash Flows. However, the data formats varied significantly across firms, leading to challenges in ingestion, mapping, and analysis. This made it difficult to perform unified reporting and cross-firm comparisons. There was a pressing need for a consolidated dashboard to standardize and visualize the data from all firms in one place.
    Solution
    We implemented a standardized data processing pipeline using the Bronze-Silver-Gold architecture on Databricks:
  • Bronze Layer: Ingested raw data from all 8 partner firms in their original formats.
  • Silver Layer: Performed data cleansing, transformation, and mapping to bring in a standard structure.
  • Gold Layer: Merged all firms’ standardized data into a single unified model.
  • Finally, we developed an interactive dashboard on top of the Gold Layer, providing a consolidated view of AUM, Net Flows, and Cash Flows across all firms.
    Click here to connect with expert
    data engineering solutions that will
    help your business succeed.
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    In-Demand Tools and
    Technologies Used by Complere

    AWS (Amazon Web Services)
    Microsoft Azure
    Google Cloud Platform
    Apache Spark
    Snowflake
    AWS (Amazon Web Services)

    AWS helps businesses scale and innovate fast. But without the right data engineering, you’re missing out on its full power, making you fall behind while others move ahead. Get your data organized, and AWS can become your ultimate growth engine.

    How Our Data Engineering
    Services Improve Your Business

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    Create a better tomorrow for your
    business with our 9+ years of
    expertise. Click here now
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    Our Data Engineering Approach 

    Data Collection & Feeding

    We begin by gathering data from different sources like the web, third-party apps, and legacy systems. This raw material is funneled into data pipelines, ready for transformation.

    Storage

    Next, we build smart storage systems, like data lakes, warehouses, and databases. It makes it easier to scale, secure, and keeps it always ready to access when your team needs it.

    Transformation of Data

    Through the established ETL (Extract, Transform, Load) pipelines, we convert your raw data into more structured formats. Preparing it for insightful analysis.

    Data Processing

    Utilizing big data technologies like Apache Spark and Hadoop, we process vast data clusters. We reveal all the patterns and insights previously hidden in the void.

    Establishing Data Framework

    We establish strong frameworks to manage and assess data quality. This is done to ensure consistency and following important data rules and standards.

    Creating Environments

    We use modern cloud platforms like Microsoft Azure and Google Cloud to build strong, flexible environments. These setups support development and testing which makes data operations smooth and reliable.

    Data Collaboration

    Finally, we build a culture where teams work together and stay connected. Everyone from analysts to decision-makers can easily access, share, and discuss data, so every decision is backed by real insights.

    Schedule a Demo

    Frequently Asked Questions

    Our key data engineering services include:
    • Developing data pipeline to collect and process data
    • Developing data warehouses and data lakes for storing data
    • ETL (Extract, Transform, and Load) data from different sources for analytics
    • Integrating various cloud services, databases, and data sources on a common platform
    • Developing data structures for querying
    • Maintaining data accuracy and consistency
    • Implementing Spark or Hadoop to handle large data sets

    To manage complicated data integration tasks, we analyze the data sources and understand your business objectives keenly. Then, we work on the suitable integration pattern (ETL, Real-Time Processing, or ELT) and tools required for achieving your goals. At the start, we design flow diagrams and set up data pipelines to extract, transform, and load the data. Finally, we use tools such as Azure Data Factory, AWS Glue, etc. to handle complex data integrations while maintaining data quality and consistency.

    Only professionals can manage the risks and maintain compliance with the industry standards and regulations. Also, professional help is a must to avoid data loss and data integrity problems. So, it is always wise to seek professional help or partner with a data engineering company to handle your data migration.

    Yes, we design data engineering solutions that help your data infrastructure to grow as per your business needs. We build dynamic and scalable solutions that allow you to expand storage, add new data sources, and modify the processing capabilities according to your changing business needs.

    Organizations that require to handle large data sets to make data-driven decisions often require data engineering services. It helps them convert raw data into actionable insights that boost their growth and innovation strategies.

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    Complere Infosystem is a multinational technology support company
    that serves as the trusted technology partner for our clients. We are
    working with some of the most advanced and independent tech
    companies in the world.

    Contact Info

    D-190, 4th Floor, Phase- 8B, Industrial Area, Sector 74, Sahibzada Ajit Singh Nagar, Punjab 140308
    1st Floor, Kailash Complex, Mahesh Nagar, Ambala Cantt, Haryana 133001
    Opening Hours: 8.30 AM – 7.00 PM

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