The data partner behind your platform.
Our Data Engineering Services
Automated ETL pipelines
Get end-to-end pipelines that extract, transform, and load data automatically to feed analytics, APIs, or internal systems.
Scheduled data ingestion
Data arrives when it should, not when someone remembers to trigger a job. We ingest from FTP, SFTP, S3, or HTTP/S on schedule, with retries and pre-processing built in.
Data lakes & warehouses
Get a single place for your data. We model and load data so it stays query-ready, consistent, and usable across teams and tools.
Data pipeline orchestration
Your pipelines follow a clear execution order and run even when issues occur. We control dependencies and retries so one failed step doesn’t derail the entire process.
Data pipeline optimization
We find what slows your pipelines or drives up costs, then fix it. Jobs run faster, scale more predictably, and stop wasting cloud resources.
Monitoring & failure recovery
We add monitoring, alerts, and recovery logic so failures are resolved before they affect downstream systems.
Data quality checks
We surface broken, incomplete, or unexpected data at the pipeline level before it reaches reports, models, or customers.
Validation rules
We define what valid data means for your use case and enforce it in the pipeline. When data breaks those rules, it’s stopped, isolated, or flagged.
Deduplication
Get cleaner datasets, more accurate counts, and fewer issues caused by repeated or conflicting entries.
Data matching
Have a consistent view of the same entity across systems. We apply matching logic that links related records and removes ambiguity from analytics and operations.
Data engineering services in AWS
Keep your AWS data workloads reliable and under control. We design and run data pipelines and backends that match your scale, usage, and cost expectations.
API development for data platforms
Give your systems clean access to data. We build stable interfaces that connect pipelines, services, and applications.
Microservices
Break large data systems into services you can change without side effects. We design microservices that isolate logic, scale independently, and don’t bring the whole system down.
Serverless, containerized architectures
Run data services without managing long-lived servers. We use serverless and Docker-based setups to keep deployments simple and costs predictable.
Data collection from websites
We rely on our own tooling to shorten delivery timelines and reduce the cost of ongoing maintenance.
PDF data parsing
We use AI to pull specific data points across various document layouts and feed clean results into your pipelines.
Image data parsing
We process printed and handwritten content from images across languages and convert it into data your pipelines can work with.
Legacy data system modernization
Reduce the cost and friction of outdated data systems. We clean up pipelines, logic, and dependencies so maintenance stops eating engineering time.
Migration to cloud-native pipelines
Shift away from rigid, hard-to-scale pipelines running on servers. We migrate workloads to cloud-native architectures for better scalability and your platform growth.
THE BEST BIG DATA COMPANY DRIVEN TOWARD YOUR SUCCESS
Since 2016, we have been building strong, efficient data pipelines. We use Scala, Java, C#, .net, and Spark to handle your data processing needs with EMR on AWS or Dataproc on GCP. Our team also integrates Kafka to streamline your operations. Plus, we’re also well-versed in Airflow, so we automate and manage complex workflows.
And we never lose sight of the importance of data quality—it’s at the heart of everything we do. Our goal is to deliver scalable, high-quality data solutions you can rely on.
Intsurfing big data solution company Service models
Public data
We collect and structure public data from any open source—websites, PDFs, APIs, and more. You tell us what you need — we deliver clean, ready-to-use records. We start with a free module setup and send sample data before you commit.
Managed Team
Get a dedicated team ready to work for you in just two-four weeks. HR and team management are on us. Free data harvesting tool setup and use included. Get the support from our big data services company you need to excel.
Industries we serve
We collect public data needed for pre-employment, tenancy, and vendor screening. This includes court records, sanctions, license status, education and employment verifications, and more. Sources: government websites, court systems, licensing boards, education registries, and company databases. Delivery options: flat files, API, or scheduled refresh.
We extract data to support KYC flows, ID validation, and onboarding. Data points include voter lists, public ID records, date of birth, address history, aliases, and government-issued documents. Sources: voter databases, civil registries, public records portals, and PDF-based archives.
We collect public data to support real-time visitor screening—from building access to school safety. This includes government watchlists, license status, disqualification records, and residency history. Sources: official registries, state and municipal databases, and open government portals. Data can be delivered as flat file or API for instant lookup.
We gather publicly available contact details, personal attributes, affiliations, and online footprints. Collected from directories, state registries, open social profiles, and archived web content. Used to enrich user profiles, verify identities, or power people search engines. Delivered as unified profiles, optionally with metadata and source links.
We extract public company records, registration info, key personnel, licenses, and tax identifiers. Sources: company registries, regulatory databases, financial reports, and sector-specific portals. Used for KYB, prospecting, compliance, and fraud prevention. Output structured by company type, region, or registration status.
Success stories of our clients
Benefits of Intsurfing big data solutions company
We work your way
Choose from our flexible service models: outsourcing and managed team. It`s your call. We adapt to your needs to ensure you get the best solution.
Experts you can trust
Tap into deep knowledge of our big data technologies company. All our developers have been certified to design and implement solutions that perfectly match your requirements.
Save big on costs
We manage resources smartly. Our proprietary tool, along with our polished workflows, ensures efficient data processing, reducing the time and effort required for complex tasks.
Flexibility at its best
We`re all about making things convenient for you. For example, we offer installment payments for long-term projects or leave space for scalability if your big data needs grow.
Pragmatic mindset
Intsurfing delivers solutions that work in practice, not just in theory. With us, your infrastructure is always future-ready for changing needs and tech advancements.
Value comes first
As a big data software development company, we`re here to help you create revenue streams from previously untapped data sources and maximize your ROI.
Insights on Data Engineering
FAQ
What does Intsurfing do?
Intsurfing builds and runs data systems for mid-sized businesses. We work on data pipelines, backend services, unstructured data extraction, and legacy modernization, operating directly inside the client’s infrastructure.
Who is Intsurfing a good fit for?
We work with mid-sized companies that have outgrown ad-hoc data setups and need reliable pipelines, integrations, or backend systems without enterprise overhead.
How quickly can a data engineering team start?
A dedicated team is usually ready in 1–4 weeks, depending on roles and scope. For smaller pilot projects, work can start sooner.
What engagement models do you offer?
We work in two ways: a managed team for ongoing delivery and ownership, or project-based outsourcing for clearly defined data tasks with a fixed scope and outcome.
Do you work inside the client’s infrastructure?
Yes. All systems are built and operated inside your cloud environment. You keep full ownership of data, code, and infrastructure at all times.
What kind of data pipelines do you build?
We build scheduled and event-driven pipelines for ingesting, transforming, and delivering data across systems, including ETL, orchestration, monitoring, and recovery.
Do you work with unstructured data like PDFs or images?
Yes. We extract structured data from websites, PDFs, and images, including handwritten and multilingual content, and integrate the output into data pipelines or backend systems.
Can you modernize existing data systems?
Yes. We modernize legacy data pipelines and backends step by step, reducing operational risk while improving reliability, scalability, and maintainability.
What APIs does Intsurfing offer?
We provide production-ready data parsing APIs, including name parsing and address parsing, built and used in real data systems.
How can I start working with Intsurfing?
Many clients start with a small, well-defined pilot project, such as vendor feed ingestion, web data sampling, or PDF parsing.
Do I need to commit long-term upfront?
No. Pilot projects are fixed-scope and low-risk. You move forward only after reviewing results, timelines, and costs.





