Data Engineering Services
Transform raw data into business value with SoftTeco’s end-to-end data engineering services. From cloud migration to pipeline optimization, we offer a full range of intelligent and scalable solutions to help turn your data into a strategic asset.
The Importance of Data Engineering
According to DesignRush, the total amount of data in the world is expected to reach 300 zettabytes by 2027. Gather reports that 80% of it remains unstructured and comes from multiple sources. To effectively process and analyze both structured and unstructured data, companies require advanced data management systems, scalable cloud infrastructures, and powerful analytics tools.
Data engineering helps companies design and build data pipelines that collect, transform, and deliver data in a usable format. As a result, businesses can make smarter decisions, optimize operations, and drive data transformation.
450
Successful projects
18
Years in IT
300
Happy customers globally
500
IT experts
Our End-to-End Data Engineering Services
Data Engineering Consulting
Not sure where to start with your data journey? In the scope of data engineering consulting service, we identify potential solutions, assess your current IT infrastructure, and advise on the best way to build data engineering strategy for your business to maximize the value of collected data. Our team provides the following data engineering services:
- Identify data challenges and bottlenecks
- Recommend data architecture and select tech stack
- Develop data strategy and implementation roadmap
- Guide on ETL/ELT pipelines and data integration
Data Processing
Our specialists help integrate data from various sources, such as ERP, CRM, or IoT, transform and organize it into a usable format. We support both real-time data and batch processing to ensure data is consistent, synchronized, and efficient handling of large datasets. We provide the following data engineering services:
- Clean, validate, and enrich data
- Evolve schema and convert format
- Develop ETL and ELT pipelines
- Import the modified data into the repository
Data Lakes and Data Warehouses
SoftTeco sets up effective and secure data storage solutions, suitable for both structured and unstructured data. Whether you need a data warehouse, data lake, or combination of both to handle large volumes of raw information or better data analytics insights, our team will integrate it smoothly into your infrastructure. Our team provides such data engineering services as:
- Data warehouse/data lake design and implementation
- Data modeling and schema optimization
- Data quality management
- Data storage optimization and cost management
Data Governance and Security
We help companies establish a data governance framework for better data management. Our data engineers implement best practices, such as master data management (MDM), data lineage tracking, and audit logging to ensure data is reliable, protected, and easily accessible for usage. We provide such data engineering services as:
- Monitor and validate data quality
- Manage metadata and maintain data catalog
- Implement various data security measures
- Ensure compliance with GDPR, CCPA, HIPAA
Big Data and ML Engineering
SoftTeco suggests the use of the machine learning technology for faster and more accurate data processing and automation. Our ML engineering experts handle everything from ML model development and training to its smooth deployment. Our team provides such data engineering services as:
- Data preparation and feature engineering
- ML model development, training, and tuning
- ML model deployment and MLOps
- ML model monitoring, retraining, and lifecycle management
DataOps and Automation
Enhance your data management with automated DataOps operations. By using an advanced set of technologies, such as Snowflake and Databricks, SoftTeco provides automation and observability at every stage of the data lifecycle, ensuring data is accurate and reusable. We provide such data engineering services as:
- Design and implement automated data pipelines
- Implement self-healing and auto-scaling pipelines
- Automate pipeline testing and monitoring
- Apply version control and deployment automation
Cloud Migration
Migration to the cloud gives unparalleled security and agility, allowing you to seamlessly scale your business in a robust environment. SoftTeco helps you select the most suitable cloud solution and assist in smooth migration of your data infrastructure. Our team provides the following data engineering services:
- Select the most suitable cloud platform
- Plan and design the migration strategy
- Re-platform ETL and big data pipelines
- Support multi-cloud and hybrid environments
Data Engineering Consulting
Not sure where to start with your data journey? In the scope of data engineering consulting service, we identify potential solutions, assess your current IT infrastructure, and advise on the best way to build data engineering strategy for your business to maximize the value of collected data. Our team provides the following data engineering services:
- Identify data challenges and bottlenecks
- Recommend data architecture and select tech stack
- Develop data strategy and implementation roadmap
- Guide on ETL/ELT pipelines and data integration
Data Processing
Our specialists help integrate data from various sources, such as ERP, CRM, or IoT, transform and organize it into a usable format. We support both real-time data and batch processing to ensure data is consistent, synchronized, and efficient handling of large datasets. We provide the following data engineering services:
- Clean, validate, and enrich data
- Evolve schema and convert format
- Develop ETL and ELT pipelines
- Import the modified data into the repository
Data Lakes and Data Warehouses
SoftTeco sets up effective and secure data storage solutions, suitable for both structured and unstructured data. Whether you need a data warehouse, data lake, or combination of both to handle large volumes of raw information or better data analytics insights, our team will integrate it smoothly into your infrastructure. Our team provides such data engineering services as:
- Data warehouse/data lake design and implementation
- Data modeling and schema optimization
- Data quality management
- Data storage optimization and cost management
Data Governance and Security
We help companies establish a data governance framework for better data management. Our data engineers implement best practices, such as master data management (MDM), data lineage tracking, and audit logging to ensure data is reliable, protected, and easily accessible for usage. We provide such data engineering services as:
- Monitor and validate data quality
- Manage metadata and maintain data catalog
- Implement various data security measures
- Ensure compliance with GDPR, CCPA, HIPAA
Big Data and ML Engineering
SoftTeco suggests the use of the machine learning technology for faster and more accurate data processing and automation. Our ML engineering experts handle everything from ML model development and training to its smooth deployment. Our team provides such data engineering services as:
- Data preparation and feature engineering
- ML model development, training, and tuning
- ML model deployment and MLOps
- ML model monitoring, retraining, and lifecycle management
DataOps and Automation
Enhance your data management with automated DataOps operations. By using an advanced set of technologies, such as Snowflake and Databricks, SoftTeco provides automation and observability at every stage of the data lifecycle, ensuring data is accurate and reusable. We provide such data engineering services as:
- Design and implement automated data pipelines
- Implement self-healing and auto-scaling pipelines
- Automate pipeline testing and monitoring
- Apply version control and deployment automation
Cloud Migration
CRO stands for conversion rate optimization, and this is a web design service that SoftTeco is highly proficient at. Our web design services company can help you move the site visitors to the top of the sales funnel through all-round site optimization. We will take care of website performance, CTA buttons, and site navigation to lead users to completed conversions.
- Select the most suitable cloud platform
- Plan and design the migration strategy
- Re-platform ETL and big data pipelines
- Support multi-cloud and hybrid environments
Unlock your data potential with SoftTeco
SoftTeco’s Cloud Partners
As a certified partner of the biggest cloud providers, SoftTeco brings security, scalability, and reliability to every project that involves cloud.
AWS Cloud
We use AWS Cloud to design and implement complex yet swift cloud-based solutions. We recommend AWS Cloud for companies that already have an established Amazon ecosystem, focus on scalability and cost-effectiveness, and have complex operational workflows.
DigitalOcean Cloud
We leverage DigitalOcean to design, deploy, and operate on secure and cost-effective infrastructure. This solution is perfect for those looking for fast performance, predictable costs, and a focus on user-centric development.
Oracle Cloud
We use Oracle Cloud to design and deliver solutions on Oracle Cloud infrastructure and related Oracle technologies. This cloud is worth your attention if you need reliable, enterprise-grade software combined with impressive performance.
Data Challenges We Solve
Data silos
According to IMB, 82% of companies report that isolated data disrupts their critical work processes, and 68% of corporate data remains unanalyzed. It occurs when departments use disparate software, legacy systems, or different data formats, which hampers effective data use and sharing.
How we fix it:
Poor data quality
Incomplete, inconsistent, or outdated data arise from data integration issues, human errors, etc. Poor data quality leads to incorrect insights, ineffective decision-making, and financial losses. 25% of data professionals report that poor data costs organizations more than $5 million annually.
How we fix it:
Scalability
As organizations grow, data volumes increase, making data management challenging. Legacy systems complicate the situation because they can’t handle the growing data volumes, leading to slow processing, storage limitations, and inefficient analytics.
How we fix it:
High infrastructure costs
Maintaining local infrastructure for large volumes of data can be costly and resource-intensive. This makes it difficult for companies to properly process big data and increase capacity as the data grows.
How we fix it:
Our Approach to Data Engineering
We follow a structured and transparent process that ensures every step of data engineering is clear, reliable and easy to track.
Step 1. Requirements Gathering
We start by understanding your business objectives and analyzing how your organization collects, manages, and uses its data assets. Based on that, we сreate a custom data strategy, paying close attention to your business requirements and budget.
Step 2. Data Architecture Design
Our specialists design a robust and scalable data architecture. For this, we identify all data sources and select the appropriate data storage, processing, and integration solutions, along with the optimal tech stack. We choose between batch, streaming, or hybrid pipelines and design APIs to ensure smooth data flow and connections between systems.
Step 3. Data Pipeline Development
Our data engineering experts build scalable, reliable ELT or ETL pipelines to collect data from various sources, transform, and load it into the chosen storage system. Based on your requirements, we also incorporate real-time data streaming, batch, or hybrid processing.
Step 4. Data Validation and Quality Assurance
We perform automated and manual validation checks to detect errors, anomalies, and data inconsistencies. To do this, our team applies techniques such as data profiling, anomaly detection, and various data validation checks. We also implement automated testing and monitoring to catch and resolve system issues early on.
Step 5. Deployment
During this stage, our data engineers move the entire data system into the production environment. We set up comprehensive monitoring, logging, and alerting systems to ensure reliability, error detection, and complete visibility of your data flow.
Step 6. Security and Compliance
Our team creates a data security strategy with such measures as end-to-end encryption, role-based access control (RBAC), multi-factor authentication, and data masking. We also align all processes with relevant laws, like GDPR, HIPAA, and ISO 27001, to meet both internal and external regulatory standards.
Step 7. Optimization and Support
After deployment, our engineers continuously monitor and optimize your data systems for performance and scalability. We also refine data models and provide ongoing maintenance, support, and updates to ensure your data infrastructure remains robust and highly performing.
Our Tech Stack
Cloud Platforms
AWS: EC2, S3, RDS, EMR, Glue, Kinesis, Redshift
Microsoft Azure: Azure Data Factory, Azure Synapse, Azure Databricks, Azure Data Lake
Google Cloud Platform (GCP): BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage
Other Clouds: IBM Cloud, Oracle Cloud, DigitalOcean
Data Storage & Databases
Cloud Object & Data Lake Storage: Amazon S3, Azure Data Lake, Google Cloud Storage, IBM Cloud Object Storage
Docker, Relational & Analytical Databases: Amazon Aurora, Amazon RDS, PostgreSQL, MySQL, Microsoft SQL Server, Oracle, Google BigQuery, Google Cloud Spanner, Teradata, SAP HANA
NoSQL & Caching: Amazon DynamoDB, Amazon ElastiCache, Azure Cosmos DB, Google Bigtable, Firestore, Memorystore
Data Ingestion & Integration
Apache NiFi, Talend, AWS Glue, Azure Data Factory, Stitch, Google Cloud Dataflow
Data Processing & Transformation
Apache Spark, Apache Hadoop, Databricks (AWS / Azure / GCP)
Streaming & Real-Time Analytics
Apache Kafka, Apache Flink, Amazon Kinesis, Google Cloud Pub/Sub
Analytics & BI
Power BI, Amazon OpenSearch / Elasticsearch, Amazon CloudWatch, BigQuery Analytics
MLOps & Advanced Analytics
MLflow, Kubeflow, Custom MLOps frameworks (incl. Addepto MLOps Framework)
Why Choose SoftTeco as Your Data Engineering Company?
Clients Feedback on Our Data Engineering Services
Our Data Engineering Projects
An AI-Based Banana Leaf Health Monitoring
SoftTeco developed a solution to monitor, control, and observe banana cultivation, enabling prompt detection of issues. Our experts used object detectors and deep learning methods on a dataset we collected to identify damaged banana leaves. We also developed a module that analyzes leaf images and generates a detailed report on the plant’s condition.
An AI-Based Beehive Tracking System
SoftTeco created an AI-based application that uses computer vision to accurately count bees in the hive. The solution also lets users create intuitive charts and graphs to easily track the growth and well-being of their hives. Beyond creation, our team was responsible for defining the product’s architecture, data collection, data labeling, neural network training, and the solution deployment.
AI Chatbot for Better Customer Service
The Elgie AI chatbot is a key component of SoftTeco’s website, providing 24/7 customer support. As part of the Gen AI development process, our team utilized the powerful RAG system for training the bot and large language models for processing information. In addition to customer service, the bot analyzes audience interests and provides reports on user requests and interactions.
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