Turn your data into a strategic asset with data engineering consulting
Every stage of data engineering, covered
Wondering if our data engineering services fit your specific needs? Rest assured — they do.
Explore the comprehensive range of solutions we provide:
Ingestion
We handle data diversity with ease, whether it’s traditional or big data, batch or real-time. Our engineers build the pipelines you need to collect scattered data efficiently:
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ETL (extract, transform, load) pipelines
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ELT (extract, load, transform) pipelines
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Batch data pipelines
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Real-time or streaming data pipelines
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Data integration pipelines
Our expertise spans all data formats: texts, images, videos, and audio files.
Worried about the complexity or number of data sources? Don’t be. We ensure smooth data collection from anywhere — internal systems, social media, partner platforms, or publicly available datasets, you name it.
Transformation
We set up and configure workflows to ensure your data is high quality and tailored to your processes.
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Cleansing: Handle missing values and remove duplicates and outliers.
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Filtering: Extract only the needed data, such as isolating US sales from a global sales dataset.
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Conversion: Standardize data by changing file formats and types for compatibility.
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Anonymization: Ensure data privacy by removing personally identifiable information.
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Labeling: Train machine learning models effectively.
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Feature extraction: Enable machine learning algorithms to make precise predictions.
Storage
We help you design and deliver a data storage ecosystem tailored to your requirements — whether cloud or on-premises, for structured or unstructured data and analytical or operational use.
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Data warehouses (DWHs): Optimized for fast querying and reporting, perfect for turning structured data into business insights.
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Data lakes: Ideal for storing vast amounts of raw data in any format — structured, semi-structured, or unstructured.
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Databases: Traditional relational databases or flexible NoSQL solutions to manage your operational data needs efficiently.
While designing, we also consider infrequently used (aka cold) and frequently used (aka warm) data, role-based access, retention, and backup policies.
We focus on making your storage solutions cost-efficient, reliable, and scalable for future data growth.
Serving
We ensure your systems turn raw data into valuable insights while giving users accurate and lightning-fast answers to their queries.
We’re also skilled in designing, training, and fine-tuning robust ML/AI models that deliver precise predictions and drive high-ROI results.
Our capabilities cover:
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Business intelligence (BI): Make sure all your business decisions are informed rather than driven by gut feeling.
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Data analytics: Enjoy multiple sophisticated techniques and approaches that turn data into insights.
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Embedded analytics: Let your app users leverage insights directly in your apps.
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Machine learning (ML): Detect patterns and trends to predict outcomes.
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Artificial intelligence (AI): Get real-time insights and trigger actions that improve customer experience and operational efficiency.
Data governance
We provide expert guidance on establishing policies and processes that ensure data quality and security throughout your data lifecycle.
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Data quality management: Implement validations and automated quality checks for reliable insights.
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Master data management: Create a single source of truth for all your key business entities — customers, employees, and products.
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Metadata management: Get all the context and essential details you need to truly understand your data.
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Data security: Deploy all the needed controls, from data encryption to role-based access, to ensure your data is well-protected from unauthorized access.
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Data lifecycle management: Set up the right archiving, retention, and disposal processes.
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Data modernization: Move from legacy systems to more efficient data solutions.
Our data engineering consulting services
From building your data infrastructure to perfecting its elements, our engineers are ready to help.
Data engineering strategy and architecture design
We’ve got the answers to your biggest data questions. Need scalable data architecture? Efficient data pipelines? Or maybe perfect storage and serving solutions? Our team covers it all, from describing data models, schemas, and workflows to creating a data strategy and roadmaps.
After analyzing your unique needs, we'll pick the best tools for the job — open-source, cloud-native, or a hybrid approach.
Integration
For conglomerates and diversified businesses, we help consolidate scattered data to achieve complete visibility. By creating an inventory of sources, integrating disparate data, and syncing on-premises systems with cloud platforms, we bridge data silos with ease.
We also ensure data quality checks and validation rules during integration so your consolidated data remains accurate, reliable, and ready for decision-making.
Automation
We help you automate routine and complex data jobs, minimizing manual intervention across the entire data engineering lifecycle. From data ingestion and quality checks to infrastructure as code (IaC) and auto-scaling cloud resources, we guide you in leveraging automation at every stage.
Cost efficiency
Our data engineers design data infrastructures that deliver a two-for-one: minimized cloud and infrastructure costs and maximum performance.
We share strategies that can help you store only necessary data, clean duplicates, and optimize storage — all to avoid unnecessary expenses.
Our guidance also helps you make the most of cloud pricing plans, implement cost management solutions, configure auto-scaling, and reduce cloud costs.
Monitoring
Adopt the best monitoring practices and get real-time insights into the health of your data pipelines. We help you ensure that data pipelines are easy to maintain and that you instantly get notified if any problem arises.
Embrace everything from performance metrics tracking to error detection. With proactive monitoring, you keep your workflows under control and minimize downtime.
Optimization
Our data engineering consulting team helps you improve operational efficiency by addressing bottlenecks, adding new data sources, and accelerating analytics queries.
Moreover, we share tips on optimizing the costs of running data architectures and bringing life-facilitating automation.
Hands-on support
Development
Need more than advice? Our data engineering experts don’t stop at recommendations—they bring them to life, implementing solutions, steps, and best practices.
Migration
If you’re planning a move to another technology or a shift from on-premises to the cloud, we can design a migration strategy that prioritizes workloads and data migration without disrupting your everyday processes.
Why Vention
years of experience in custom development
happy clients and thousands of completed projects
End-to-end services to offer a winning combo of professional guidance and engineering peace of mind
Wide expertise to leverage data pipelines of any complexity: artificial intelligence, computer vision, AR/VR, IoT, blockchain, and big data
An ISO 27001-certified company

Our growth and impact speak volumes.
And we've been recognized for it — time and again.
Inc. 5000
Six-time honoree among America’s fastest-growing private companies
IAOP
Four-time honoree on the Global Outsourcing 100 list by the International Association of Outsourcing Professionals
Financial Times
Five-time honoree among the fastest-growing companies in the Americas
Trusted by the best
Our data engineering projects
We’ve already nailed dozens of data engineering tasks. Check out some of our multiple success stories in detail:
Enhancement of motum’s platform
Our team enhanced motum’s vehicle claims and maintenance management platform by adding features like image upload, automated notification of insurance companies, and integration with an AI-powered car damage detection service. The result? The platform was able to manage 8,000+ vehicles and tens of thousands of claims, while providing realistic timelines and cost estimates to its expanding customer base.
AI leasing assistant for EliseAI
To elevate user experience and enable 24/7 lead nurturing, our experts integrated multiple property management platforms and developed AI-driven automatic responses, automating 90 percent of the workload.
The best part? Conversions were boosted by 125%, and 90% of the leasing teams’ time was freed up to focus on more complex tasks.
AWS deployment and optimization for Dialogue
Our team deployed a multi-account AWS environment to provide granular, centralized, and secure control over workloads. During Covid, when Dialogue faced a 5x surge in traffic, we optimized the environment even further, reducing the latency of heavy queries from 60 seconds to under 30 milliseconds.
AI and analytics systems for Kids Academy
For a preschool education app, our team handled all development aspects, from designing resilient architecture to implementing neural network algorithms and optimizing AWS performance.
We also developed AI-powered interactive worksheets and a Microsoft Power BI-based analytics system. In addition, our engineers integrated Google Classroom, which helped teachers cut down lesson planning by almost 30 percent, track students' performance, and bridge learning gaps faster.
Enhancement of neural network training for Comet
Our team seamlessly integrated Comet with popular Python ML frameworks and libraries, streamlining data extraction during neural network training. With a single line of code, engineers can now activate automatic data collection and logging, significantly improving project efficiency.
Additionally, we upgraded Comet's interface to support manual logging of diverse data types, including images and videos.
Automated data analysis system for Bevi
Our engineers developed an automated data analysis system that enabled Bevi to monitor operational costs, assess the carbon footprint of bottled water, and track other key sustainability metrics.
Leading tools for leading-edge solutions
Our approach uses trusted, industry-approved tools to guarantee the success of your data platform and data engineering projects.
ETL tools & frameworks
Informatica
SQL Server Integration Services
dbt
Pentaho
Apache Camel
IBM DataStage
Talend
Spring Batch Integration
NoSQL
MongoDB
Cassandra
Druid
HBase
ClickHouse
SQL
PostgreSQL
MySQL
Microsoft SQL Server
MariaDB
Oracle
Analytics & BI tools
Tableau
Looker
Business Objects
Microsoft Power BI
Cognos
Jaspersoft
QlikView
Actuate BIRT
SQL Server Reporting Services
ELK
QlikView
Qlik Sense
Machine learning
NumPy
scikit-learn
TensorFlow
PyTorch
RStudio
pandas
Matplotlib
caret
Programming languages
Python
Java
Scala
R
AWS
Amazon EMR
AWS Lambda
Amazon S3
AWS Glue
Amazon Kinesis
Amazon DynamoDB
Amazon Redshift
Amazon QuickSight
AWS Athena
AWS Lake Formation
Google:
BigQuery
Dataproc
Dataflow
Cloud Storage
Azure:
Azure HDInsight
Azure Data Lake Storage
Azure Data Factory
Azure Cosmos DB
Azure SQL Database
Distributions:
Hortonworks
Databricks
Cloudera
Apache projects:
HDFS
Hive
Spark
Kafka
Pulsar
Beam
Samza
Flink
Storm
NiFi
Airflow
Storage:
Snowflake
Oracle
SAP Business Warehouse

Set your data in motion
Need professional or hands-on support to ensure data quality and workflow efficiency? Vention is here to help.