Srinivas Sukka

Software Engineer

London, England, United Kingdom12 yrs 8 mos experience

Highly Stable

Key Highlights

Over 10 years of experience in data analytics and engineering.
Expert in Snowflake database migration and optimization.
Proficient in SQL scripting for data insights.

Stackforce AI infers this person is a Data Engineering expert in the SaaS industry.

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Skills

Core Skills

Data EngineeringSnowflake CloudSql ScriptingLarge Language Models (llm)Data Architecture

Other Skills

DBTADOGitHub CopilotGitSQLAnnotationProblem SolvingMicrosoft AzureData MeshPython (Programming Language)Azure Data FactoryData WarehousingPentahoUnixHadoop

About

Greetings! I am a highly skilled and results-driven Data Analytics and Engineering professional with over 10 years of hands-on experience in the dynamic realm of data management. My expertise spans a wide range of tools and technologies, including Pentaho, Informatica, StreamSets, and Snowflake, Oracle, SQL Server, PostgreSQL– all aimed at unlocking the true potential of data and driving meaningful insights for businesses. 💼 Data Analytics and Engineering Mastery: Throughout my career, I have successfully navigated complex data challenges, leveraging my comprehensive understanding of data architecture, modeling, and data warehousing principles. My proficiency in designing and implementing robust data pipelines has enabled organizations to harness their data assets efficiently and optimize decision-making processes. 🏆 Snowflake Database Migration: One of my core strengths lies in facilitating seamless Snowflake database migration. By devising meticulous migration strategies and employing best practices, I have facilitated smooth transitions for businesses, ensuring minimal disruption while harnessing Snowflake's unparalleled performance and scalability. 📜 SQL Scripting Excellence: As an accomplished SQL scripting guru, I have demonstrated my prowess in crafting powerful and optimized queries that extract meaningful insights from diverse datasets. My ability to fine-tune and optimize queries ensures improved performance and streamlined data processing.

Experience

12 yrs 8 mos

Total Experience

2 yrs 8 mos

Average Tenure

7 mos

Current Experience

Aviva

Lead Data Engineer

Oct 2025 – Present · 7 mos · London Area, United Kingdom

As a Lead Data Engineer, I design and deliver niche data products for Aviva’s IWR (Insurance, Wealth & Retirement) business, leveraging DBT Cloud and Snowflake. My work empowers stakeholders and data science teams to develop predictive models that accelerate decision‑making and support the growth of Aviva’s insurance portfolio.

Snowflake CloudDBTADOGitHub CopilotGitData Engineering

Superannotate

LLM Data Trainer - SQL

Mar 2025 – Feb 2026 · 11 mos · Remote

As an LLM data trainer, I'll be working on validating SQL queries generated by AI, helping to enhance the model’s ability to understand and generate accurate SQL syntax.

SQLLarge Language Models (LLM)AnnotationProblem SolvingSQL Scripting

Ust

Technical Lead

Nov 2022 – Feb 2026 · 3 yrs 3 mos · London, England, United Kingdom

In my role as a Snowflake Platform Engineer, I was responsible for designing, implementing, and managing core platform capabilities that enabled a scalable and well‑governed data mesh architecture within Snowflake. My work involved developing automated processes to support domain-oriented data products, ensuring seamless onboarding of new data domains, and enforcing consistent governance standards across the platform.
I managed and optimized the Snowflake infrastructure, overseeing configuration, security administration, role-based access control (RBAC), performance tuning, and workload optimization. A key focus was establishing cost‑efficiency practices, including designing monitoring frameworks, creating usage‑based alerts, and implementing processes that minimized compute and storage costs while maintaining performance and SLAs.
Additionally, I played a central role in stakeholder enablement by educating data owners, data product teams, and business stakeholders on Snowflake capabilities and new features relevant to the data mesh operating model. This included developing guidance, best‑practice patterns, and documentation to drive adoption of modern architectural principles such as data product ownership, decentralized governance, and self‑service data capabilities.

Microsoft AzureSnowflake CloudData MeshADOData Architecture