Venkat sunil kumar indurthy

A Modern Approach to Asset Management: Integrating SimCorp Dimensions with Cloud Data Platforms.

Abstract:

This paper will describe the way in which UNIFY has successfully integrated multiple technologies, including SimCorp Dimensions, Informatica PowerCenter ETL, Snowflake Cloud-based Data Warehouse, as well as IDL's Data Hub orchestration (or ETL), in order to convert a disparate and fragmented Asset Management platform into a truly cloud-native architecture. Through the use of Phased ETL Strategies and Agile/Scrum governance, UNIFY addresses many of the common challenges associated with legacy systems, including Fragile Integrations, Insufficient Data Sources, and High Maintenance Costs. Additionally, the UNIFY design has standardised data flows, provided for Very High Availability and enabled Seamless Migrations. Performance Studies conducted by the UNIFY development team indicate a marked improvement in overall efficiency, including Significant reductions in Query Costs and Increased Cache Hits; additionally, UNIFY has identified optimization opportunities using its Cost Dashboard. Future efforts will focus on the adoption of advanced technology, including GraphQL Federation, Real-Time Streaming, and AI-Driven Operations, as well as additional opportunities to improve scalability and reduce costs. Overall, the design created by UNIFY establishes a New Industry Standard for IT Transitioning of Asset Management platforms, while ensuring Compliance with Regulatory Requirements and Eliminating Legacy Silos.

Profile:

Venkata Sunil Kumar Indurthy is an accomplished Data Architect and Data Engineer with over 12 years of experience in designing, building, and optimizing large-scale data platforms, including more than three years in dedicated data architecture roles. He specializes in creating secure, scalable, and high-performance data solutions that support enterprise systems across cloud and hybrid environments.
Sunil brings strong expertise in data architecture, data modeling, and modern data platform design, including Data Lakes, Data Warehouses, Data Marts, and Operational Data Stores. He has extensive hands-on experience designing conceptual, logical, and physical data models, as well as normalized and dimensional schemas using technologies such as Snowflake, Azure Databricks, Oracle, DB2, and SQL-based platforms.

His technical background includes deep experience with data integration, migration, and ingestion using industry-leading ETL and ELT tools such as Informatica, Azure Data Factory, DBT, Matillion, DataStage, and PySpark. Sunil is highly skilled in complex SQL and PL/SQL development, database performance tuning, and query optimization. He also has strong exposure to cloud-native architectures across AWS, Azure, and Google Cloud Platform, including serverless and messaging services.
Having worked across finance, retail, healthcare, insurance, oil and gas, and energy sectors, Sunil is recognized for his analytical approach, strong problem-solving abilities, and commitment to data quality, governance, and regulatory compliance.