Data engineering transformation: Turning data investments into strategic advantages

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Data is more than information in the digital era – it’s your competitive edge. As a leading data engineering consulting company, we architect robust data infrastructures that transform raw data into actionable intelligence. Our data engineers design end-to-end data solutions that leverage cutting-edge technologies like Apache Spark, Databricks, Snowflake, Apache Airflow, and cloud platforms including AWS and Azure. We don’t just manage data. We engineer strategic capabilities that drive business growth.

Our data engineering capabilities

Data pipeline

Data pipelines

Get customized ETL or ELT data pipelines tailored to your infrastructure. Our data engineers craft pipelines from scratch or utilize cloud services to fully extract, transform, structure, and securely load data into optimized storage. We ensure scalable end-to-end pipelines that meet your business needs.

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Data lakes and warehouses

Consolidate your digital information into structured data repositories to organize storage and power analytics. Our experts can build cloud data lakes to capture and transform raw enterprise data as well as design enterprise data warehouses to store refined, business-ready information.

Data Analytics

Data analytics

Diverse data analytics approaches include descriptive, diagnostic, predictive, and prescriptive methods to uncover valuable insights. By thoroughly analyzing past events and identifying root causes, we deliver actionable forecasts to guide future direction. Our experts help determine the optimal data analysis strategies to meet your decision-making needs.

Achieve strategic benefits with our data engineering consulting services

Data strategy and consulting

Data strategy and consulting

  • In-depth data infrastructure assessments
  • Strategic data roadmapping
  • Customized data solution design

Data processing solutions

Data processing solutions

  • Scalable pipelines
  • Automated ETL offloading
  • Real-time streaming
  • Data integration

Data storage solutions

Data storage solutions

  • Cloud infrastructure builds
  • Hybrid model support
  • Backup optimizations
  • Enterprise data warehousing
  • Multi-cloud accessibility

Data governance

Data governance solutions

  • Centralized metadata management
  • Holistic data policy optimization
  • Automated data lineage tracking
  • Access controls and security protocol

We partner with the following industry-leaders:

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Snowflake

We are a data engineering consulting company that uses Snowflake to enable businesses to easily transform and deliver data to generate valuable insights.

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AWS

We analyze our clients’ requirements to focus on storage, migration, transformation and data structuring for analytics and reporting using AWS.

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Microsoft Azure

Our experts analyze our clients’ entire business model to develop data analytics solutions and suggest the right methods for integrating, transforming, and consolidating data using Microsoft Azure.

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Databricks

Our experts assess the entire business model to develop data analytics solutions and recommend the best approaches for integrating, transforming, and unifying data using Databricks.

Build a robust foundation for your data strategy with our expert data engineering consulting services.

Get a free consultation

Success Stories

Implementing data engineering solution for an EV charging station company

Industry

Renewable Energy

Technologies

Tableau, Salesforce, Oracle NetSuite

Challenges

  • Inefficient monitoring of installation stages
  • Unable to track installation progress
  • Lack of station performance evaluation

Business impact

  • Obtained monthly progress reports with Tableau dashboards
  • Achieved real-time inventory visibility
  • Identified key manufacturers frequenting stations

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Success Stories

Softweb’s data engineering efficiency fuels informed decisions for e-commerce giant

Industry

Retail

Technologies

Tableau, AWS 

Challenges

  • Lack of content acquisition and marketing strategies
  • Lack of understanding audience preferences
  • Content development misaligned with viewer choices

Business impact

  • Global dashboard analyzed demographic data
  • Concept dashboard tracked brand impact and viweing interest
  • Audience-centric content development

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Success Stories

Maximizing manufacturing efficiency with data engineering

Industry:

Manufacturing

Technologies

Power BI, Snowflake

Challenges

  • Financial losses from incorrect charges
  • Lack of data visualization tools
  • Reliance on VLOOKUP for data modeling

Business impact

  • Improved efficiency with real-time KPI tracking
  • Reduced financial losses with Power BI dashboards
  • Boosted financial performance through cost savings

Client

A leading baby products manufacturer

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Our Clients

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Frequently asked questions

We design and implement scalable data storage solutions that cater to your specific needs, whether it’s on-premises, cloud-based, or hybrid. Our data storage solutions ensure data is stored securely, accessed efficiently, and managed cost-effectively.

We implement comprehensive data governance frameworks that include policies, procedures, and technologies to maintain data quality, security, and compliance. Our approach ensures data accuracy, consistency, and reliability across your organization.

Yes, our data engineering services include developing data integration solutions that consolidate data from various sources into a unified view. This enables seamless data flow and accessibility for analysis and decision-making.

To get started, simply contact us through our website or call our sales team. We’ll schedule a consultation to discuss your specific needs and tailor a solution that fits your business requirements. Alternatively, you can write to us at info@softwebsolutions.com.

We implement role-based access controls (RBAC), data encryption, GDPR and HIPAA compliance measures, and secure data governance frameworks.

Yes, we specialize in modernizing legacy data warehouses and on-premises databases, migrating them to cloud-native architectures like Azure, AWS, and Google Cloud.

  • Cloud strategy – Choose cloud, on-prem, or hybrid based on scalability and compliance needs.
  • Scalability & performance – Optimize for real-time processing and high data volumes.
  • Integration & interoperability – Ensure seamless data flow across systems with ETL/ELT.
  • Security & compliance – Implement RBAC, encryption, and adhere to GDPR, CCPA, HIPAA.
  • Data governance – Maintain data quality, lineage tracking, and metadata management.
  • AI & analytics readiness – Enable ML, real-time analytics, and predictive modeling.
  • Cost & ROI – Assess TCO, optimize cloud spend, and improve efficiency.
  • Automation & DataOps – Leverage CI/CD, Infrastructure as Code, and DevOps practices.
  • Future-proofing – Explore Data Mesh, AI-driven automation, and emerging technologies.

Downtime during migration depends on several factors:
  • Minimal downtime (Zero-downtime migration) – With strategies like phased migration, database replication, or blue-green deployment, downtime can be near zero.
  • Planned downtime (Hours to a day) – For medium-sized workloads with cutover-based migration, downtime can range from a few hours to a full day.
  • Extended downtime (Days to weeks) – Large-scale legacy system migrations with heavy data transformation may require scheduled downtime over several days, often done in stages.

Redefine your data landscape

Leverage data engineering services that drive innovation

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