Bala Krishna Email & Phone Number

As a Data Architect and Lead Data Engineer with over 20 years of experience primarily in the Property and Casualty Insurance industry, I specialize in designing and implementing data solutions that drive innovation, operational efficiency, and business transformation. My expertise spans data architecture, data engineering, cloud technologies, and system integration, with a strong focus on delivering high-quality, scalable, and secure solutions tailored to the insurance domain's unique needs.Throughout my career, I have successfully led cross-functional teams in delivering large-scale data projects, optimizing data workflows, and enabling data-driven decision-making. I am passionate about harnessing the power of AI/ML, and advanced analytics to enhance business processes and improve customer experiences in the insurance space.I excel in collaborating with business stakeholders, IT teams, and leadership to align data strategies with organizational goals. My technical skills include proficiency in data modeling, database design, ETL processes, cloud platforms (AWS), and data visualization tools. I am committed to driving innovation while strongly focusing on data governance, security, and compliance.Key Highlights:Proven track record in data architecture design, system optimization, and data integration for large, complex insurance systems.Extensive experience with cloud technologies (AWS) and modern data platforms (Snowflake).Expertise in Guidewire applications and products like Policy Center, Billing Center, Claim Center, Data Hub, and Info Center. Expertise in the Design and Implementation of Guidewire data hub to integrate data from Guidewire source systems and legacy source systemsExpertise in leading agile, multi-disciplinary teams to deliver high-impact, results-oriented solutions.Strong focus on data quality, governance, and regulatory compliance within the Property & Casualty Insurance industry.Passionate about developing solutions that enable business transformation and deliver measurable value.Technical Skills:ETL Tools: SAP Business Objects Data ServicesProgramming Languages: Java/J2EE, SQL, HTML, PythonDatabase: Oracle, SQL Server, DB2, PostgreSQLData Warehouses: SnowflakeBI tools: Cognos, Tableau, and Sequel ViewpointPublic Cloud Platforms: AWS