Mallikarjun Reddy

Group Manager at Wns Analytics

Based in Bengaluru, India

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Seniority

Manager

Department

General Business & Management

Location

Bengaluru

Industry

Business Consulting and Services

Company size

775

Contact information

Reveal Mallikarjun's email and phone

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Email

1 credit

m•••••••@wns.com

Phone

5 credits

+91 ••• •••• ••••

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Background

About Mallikarjun Reddy

With 18+ years of experience in data engineering and financial technology, I specialize in building scalable, cloud-first data ecosystems for financial institutions, investment firms, and regulatory bodies. My focus is on automating risk analytics, ensuring regulatory compliance, and enabling data-driven decision-making. Cloud-First Data Solutions I lead cloud-native initiatives, migrating systems to AWS Redshift and BigQuery. My work helps organizations replace legacy infrastructure, automate workflows, and optimize reporting for Improved agility and compliance. Regulatory Compliance & Real-Time Analytics I design integrated solutions for regulatory reporting (APRA, Basel credit, and liquidity risk analytics. I streamline compliance processes and enhance operational efficiency with automated pipelines and real-time data insights. Leadership in Cloud Transformation As a thought leader, I guide large-scale cloud migrations that streamline reporting and decision-making. I mentor teams and foster collaboration to drive the adoption of cloud technologies across organizations. Core Skills: Cloud & Data Engineering: AWS Redshift, Snowflake, Databricks, BigQuery, Oracle, SQL Server, DB2 Data Integration & ETL: Informatica PowerCenter, SSIS, PL/SQL, Python, Big Data & Automation: Control-M, AWS DMS, FiveTran, Unix Shell Scripting Risk & Regulatory Analytics: APRA Reporting, Basel Credit & Liquidity Risk Data Visualization, Reporting and Agile: Tableau, SSRS, SQL, JIRA, GIT, Confluence, Jenkins CI/CD, ServiceNow Passionate About: Empowering organizations to make smarter, data-driven decisions and stay ahead of evolving regulations. Let’s connect to explore how we can shape the future of data engineering and risk analytics.

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