Karthik Mannava

About Karthik Mannava

As a Data Architect at Slalom, I have designed and implemented scalable, cloud-native data platforms tailored for diverse environments. My expertise includes seamless data architecture data integration using tools like Azure Data Factory and robust data transformation frameworks leveraging Snowflake and dynamic database technologies. These solutions empower teams with reliable, validated data for analytics and decision-making. My contributions extend to building end-to-end data pipelines, orchestrating workflows with cloud technologies, and automating processes to optimize data operations. Collaborating with cross-functional teams, I deliver tailored solutions that align with organizational goals. Certified in Snowflake SnowPro Core and DBT Fundamentals, I am passionate about advancing modern data architecture and fostering innovation within cloud ecosystems.

Experience

1. Data Architect

   Slalom

   Jan 2023 — Present · US

   Comprehensive Data Architecture: Designed and implemented scalable, cloud-native data platforms to support data ingestion, transformation, validation, and analytics. Delivered solutions adaptable to multiple data environments, including modern data warehouses like Snowflake.Data Integration and Orchestration:Architected seamless data pipelines integrating data from diverse sources using Azure Data Factory and cloud storage solutions, ensuring efficient and secure data flow across systems.Data Transformation and Validation:Developed robust frameworks for data transformation using tools like Stored Procedures, Dynamic Tables, and other database technologies. Established validation processes to ensure data quality and reliability.Security and Governance:Implemented data governance frameworks, including role-based access controls and secure connectivity between cloud platforms. Ensured compliance with organizational policies for data privacy and security.Cloud and Hybrid Expertise: Delivered architectures leveraging public cloud platforms like Azure, while ensuring compatibility with on-premises and hybrid systems, showcasing flexibility in adapting to diverse data ecosystems.Collaboration and Strategic Vision:Partnered with cross-functional teams to align data architecture with business objectives. Contributed to roadmaps, mentored engineering teams, and guided technology decisions for scalable and sustainable solutions.Technical Toolset: Snowflake, Azure Storage, Azure Data Factory, Python, SQL, Terraform, and other modern architecture tools.

Education

• Northeastern University

  Master’s Degree, Engineering Management

  2015 — 2017

• GITAM Deemed University

  Bachelor’s Degree, Mechanical Engineering

  2010 — 2014

Skills

• Excel Models
• Excel Pivot
• Microsoft Visual Studio Integration Services
• Excel Dashboards
• Python
• Cloud Computing
• Data Warehousing
• Microsoft Sql Server
• Tableau
• Power Bi
• Ms Excel Pivot Tables
• Microsoft Visual Studio Analysis Services
• Cassandra
• Dax