Teams at Technopals Pte.Ltd.

Develop and optimize ETL/ELT pipelines using Informatica, Teradata, Hadoop, Spark, and related technologies. Build data warehouse and data mart solutions, automate workflows with shell scripts and BTEQ, create Java-based CDC frameworks for SAP and Oracle data, and implement configurable ingestion processes. Install and develop MDM applications with data validation and approval workflows. Tune complex applications to improve performance and reduce resource consumption.

Develop scalable real-time machine learning and data systems using Hadoop ecosystem technologies. Build batch and streaming ingestion and transformation frameworks for multimodal data, deploy models through Cloudera Machine Learning, create internal full-stack tools, and optimize application performance and resource utilization.

Analyzes business and regulatory requirements, designs scalable data and solution architectures, estimates project effort, and communicates technical concepts to stakeholders. Reviews testing and data validation strategies. Develops logical data layers and curation approaches for reporting, analytics, and AI/NLP use cases, including text classification, entity extraction, risk identification, and document summarization across data lake and data warehouse environments.