
AI-Powered Linguistic Tool
In this project, we're creating three super important solutions for a language tech company. First, an intelligent question-answering system to automate responses. Second, a smart scraper with advanced DOM analysis
Outdated ETL workflows often slow down growing businesses. When your data pipelines no longer support the pace or direction of your work, it’s time to rethink the process. CHI Software offers ETL consulting that helps you adapt with clarity.
We deep dive into your current setup to understand what slows you down. After that, our engineers map out the next version of your pipeline – one that’s faster to run and ready for change.
Are you still relying on tools that can’t keep up? We help you leave behind rigid systems and build a stack that fits your current data strategy. The transition is smooth, with your logic preserved and your team fully supported.
When insights stay locked in a warehouse, the value gets delayed. CHI Software makes sure your most useful data flows back into operational tools so your teams can act on it right where they work.
We not only move your data – we make it work better. Our offering includes simplifying transformations, cutting out dead weight, and helping you trust what you see.
We build pipelines that run themselves, using smart validation, automated scheduling, and built-in monitoring. You get consistent results without the manual drag.
Data shouldn't slow you down. We fine-tune your system for peak hours and better resource use, so your pipeline performs even under pressure.
With over six years of experience in data engineering, our team knows how to build systems that last. We’ve delivered 30+ data projects that helped clients cut costs and boost decision-making.
CHI Software brings together 20+ skilled data engineers. With deep expertise on board, we cut down ramp-up time and move faster from design to delivery. Our experts focus on results in your business metrics – not just in documentation.
Our engineers hold certifications in AWS, Google Cloud, Azure, and Oracle technologies. We design ETL solutions that fit your cloud reality: built to adapt, stay secure, and give you room to grow without vendor lock-in.
Our team reviews your data sources, transformation logic, and existing workflows to understand what’s working and what needs to change. This thorough research helps set realistic goals for the migration.
Our engineers define the future-state ETL pipeline, including tools, orchestration logic, and cloud integration, to support performance and long-term flexibility.
Next, we develop migration scripts, set up the new environment, and test data flow to ensure your new pipeline is consistent.
Our engineers manage the switch to the new system, monitor data quality and system performance in real time, and troubleshoot emerging issues.
Once the migration is live, we polish system behavior, optimize resource use, and document everything for future maintenance and scaling.
Do you still have questions about how ETL solutions fit into your business? Here’s what clients often ask when exploring CHI Software’s expertise.
Optimization might be the right call if your current workflows are generally stable and only require performance tuning or minor improvements. However, ETL consulting becomes essential when problems start to feel systemic.
Here are some signs you're past the point of patching:
• Your pipelines break frequently when adding new data sources;
• Legacy tools no longer integrate with your cloud or analytics stack;
• Teams wait on data because delivery is slow or unreliable;
• Even minor updates require major rework or custom scripting.
ETL consulting services help clarify this. CHI Software’s team starts with a readiness assessment to determine whether a full migration is necessary or if optimization alone can improve performance.
We redesign your ETL flow to process more volume, more sources, and faster delivery without bottlenecks. Here’s how our service-based approach supports scalability:
• Architecture-first planning: We help you create a modular pipeline that grows with your business;
• Cloud-native best practices: Our engineers configure infrastructure that scales automatically when demand spikes;
• Efficient resource use: We eliminate redundant processing and improve batch logic;
• Built-in observability: We set up tools to track performance and flag issues.
Yes, and that’s more common than you might think. We’ve worked with pipelines that had no clear documentation, hardcoded transformations, and inconsistent naming across tables. Here’s how we approach it:
1. Reverse-engineering your workflows: We analyze logs, scripts, and data flows to map what’s happening;
2. Interviewing stakeholders: Business users often know what’s supposed to happen, even if the logic isn’t written down;
3. Creating a baseline schema map: We align what’s extracted and loaded with your operational needs;
4. Cleaning as we migrate: Migration is also an opportunity to remove redundant steps or legacy fields.
Absolutely! This is one of the most important early-stage decisions, and the answer depends on your scale, team, and budget. We typically guide this choice by looking at the following:
• Data volume and complexity: High throughput or complex joins may require custom builds;
• Tool compatibility: If you're deep in the AWS, GCP, or Azure ecosystem, native tools might offer faster setup;
• Internal expertise: Off-the-shelf tools reduce engineering load but can become rigid over time;
• Cost over time: Vendors often charge by rows or syncs, so custom may be more cost-effective at scale.
We don’t push a single solution. Instead, we assess trade-offs and help you choose based on what matters most: speed, flexibility, or long-term ownership.
Timelines vary, but most mid-sized projects take four to ten weeks, depending on complexity. Key factors that affect timing:
• Scope of the current pipeline: More moving parts usually mean more mapping and testing;
• Data quality: Data cleansing adds time;
• Tooling decisions: Building custom logic often takes longer than configuring tools;
• Testing and validation: We allow for at least one to two weeks of testing before going live;
• Stakeholder availability: Timely feedback helps us move faster.
Freelancers can be a great fit for small, focused tasks, but ETL migration is often a multi-layered challenge beyond one person’s bandwidth. Here’s how CHI Software differs:
• Team-based delivery: You get senior data engineers, architects, and QA involved in each phase;
• Structured process: Our approach is documented and repeatable from discovery to post-migration optimization;
• Tool-agnostic guidance: We help you choose the right platforms for your goals;
• Support beyond launch: Freelancers often leave after handoff – we stay to monitor, tune, and guide as you scale.