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Data Engineer with 9+ years in API-based SaaS integrations, cloud platforms & AI/ML.
Senior Data Integration Engineer with 9+ years of experience designing, developing, and supporting API-based SaaS integrations, data connectors, automation workflows, and analytics pipelines. Recognized Subject Matter Expert in REST APIs, cloud platforms (AWS, Azure, GCP), CRM integrations, ETL concepts, and data modeling. Strong background in PHP, Python, SQL, and web application development. Completed formal training in Machine Learning and Artificial Intelligence with hands-on project experience in regression models, predictive analytics, and data-driven insights. Currently preparing for Microsoft Fabric Data Engineering Certification, with working knowledge of data pipelines, lakehouse concepts, data ingestion, transformation, and analytics enablement. Actively seeking roles in Data Engineering, AI/ML Engineering (Entry-Mid), Analytics Engineering, and API Integration Engineering within GCC markets.
International Institute of Information Technology (IIIT)
Executive PG Program · Machine Learning & Artificial Intelligence
August 1, 2023 – June 30, 2024
Government Engineering College
B.Tech · Applied Electronics & Instrumentation
August 1, 2010 – June 30, 2014
Qlik Tech
Data Integration Engineer
November 1, 2020 – Present
Bengaluru, Karnataka, India
Redberry Global Solutions LLP
Senior Software Developer
July 1, 2018 – October 1, 2020
Kozhikode, Kerala, India
Uniware Solutions Pvt Ltd
Software Developer
January 1, 2016 – June 1, 2018
Kozhikode, Kerala, India
Lending Club Risk Analysis
June 12, 2026 – Present
Identified high-risk loan applicants using regression techniques.
Housing Price Prediction
June 12, 2026 – Present
Built regularized regression models for feature importance analysis.
Bike Demand Prediction
June 12, 2026 – Present
Developed multiple linear regression models for demand forecasting.
Data Modelling for Qlik Sense
Unknown
June 1, 2026 – Present
PHP and MySQL Programmer Certification
Unknown
June 1, 2026 – Present
Data Science: R Basics
Harvard University
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's experience spans data integration, software development, and recent exposure to AI/ML, indicating adaptability and a willingness to learn new domains. Their work on academic projects in ML/AI shows initiative beyond their core professional experience. However, the projects listed are academic and lack real-world, large-scale data engineering challenges, which might limit their immediate fit for senior roles requiring extensive production-level data pipeline experience. The primary professional experience is heavily focused on Qlik Automate and PHP, which might require a transition to more general-purpose data engineering tools and languages.
Soft Skills & Operational Fit
The candidate has demonstrated strong problem-solving skills by reducing support resolution time and improving workflow efficiency. Their experience in collaborating with R&D and product teams, along with authoring technical documentation, indicates good communication and teamwork abilities. The use of agile tools like Jira and Confluence suggests familiarity with modern development methodologies.