Automate Data Pipeline To perform Incremental Load

Business Impact


Many industries have started moving away from traditional practices, adapting AI and digitalization to address availability, scalability, and performance issues.


According to Gartner reports, 69% of management tasks that are performed daily will be fully automated by 2022.


Built an automated data pipeline to perform incremental uploads on a weekly basis on both development and staging servers.


The exported normalized data will be utilized for performing competitor analysis.


The solution reduces operation cost, improves decision making, and enhance productivity.

Technology Stack

Solution Overview


Built a data pipeline to extract and upload the data to the SQL server by creating a package for each table data to perform incremental load in the SQL server.


Generated BCP queries using ID and date fields to extract the latest data from the multiple tables present in a different database.


Uploaded data is then normalized and loaded into the staging database.


Configured automated SQL jobs to export the normalized data as a pipe-delimited file and uploaded it to the Azure blob storage for Machine learning team analysis.

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0






Projects for
reputed Clients



in AI & ML

Awarded as Winner among 1000 contestants at TechSHack Hackathon

Related Success Stories

Related Insights

Connect With Us!