Vivek Sunny — DevOps Engineer

Senior Data & AI Engineer | Snowflake Specialist | Big Data & ETL Expert Aspiring to become one of the world’s leading Data & AI engineers. Founding Data Engineer shaping the entire data stack and strategy for the Private equity firm. With over 5.10 years of hands-on experience, I specialize in building scalable, high-performance data pipelines and designing modern data architectures across ETL, Snowflake (2.7+ years), Big Data, and advanced analytics. Technical Expertise Proficient in platforms and tools including Snowflake, Databricks, PySpark, AWS (S3, Glue, Lambda), and Jenkins. I’ve successfully led enterprise-scale data migrations, built CI/CD workflows, and driven 70%+ workflow efficiencies across industries such as telecommunications, pharmaceuticals, and financial services. Certified SnowPro Core Data Engineer Recognized for reducing operational costs, enhancing data quality, and delivering automation-driven, business-ready solutions. Whether it’s Python/SQL scripting, cloud cost optimization, or data governance, I bring a structured, value-first approach to complex data challenges. Mentor & Content Creator I actively share actionable content on data engineering best practices and offer 1:1 mentorship via Topmate.io to help aspiring professionals enter and grow in the data space. Let’s connect if you’re building something impactful with data or exploring collaboration, learning, or growth opportunities. I believe in honest, high-value conversations that drive meaningful outcomes—exactly what I bring to every interaction.

Stackforce AI infers this person is a Data Engineering expert in Healthcare and Corporate Development sectors.

Location: Bengaluru, Karnataka, India

Experience: 6 yrs 9 mos

Skills

Data Engineering
Snowflake
Big Data
Data Warehousing
Business Intelligence
Software Development
Java

Career Highlights

Expert in building scalable data pipelines.
Proficient in Snowflake and ETL processes.
Certified SnowPro Core Data Engineer.

Work Experience

ThoughtFocus

Senior Big Data, Cloud and AI Engineer || Datawarehouse Architect (1 yr 2 mos)

kipi.ai

Lead Engineer (Snowflake) (1 yr 1 mo)

ZS

Business Technology Solutions Associate (1 yr 10 mos)

Amdocs

Datawarehouse/Business Intelligence Developer (Experienced) (2 yrs 8 mos)

Ardent Technologies Inc

Advance Java Developer (1 mo)

CNC Web World

Core Java Developer (1 mo)

Education

B.tech at West Bengal University of Technology, Kolkata

Intermediate at Don Bosco High School - India

Matriculation at Indian Public School

Vivek Sunny

DevOps Engineer

Bengaluru, Karnataka, India6 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable data pipelines.
Proficient in Snowflake and ETL processes.
Certified SnowPro Core Data Engineer.

Stackforce AI infers this person is a Data Engineering expert in Healthcare and Corporate Development sectors.

Contact

viveksunny.sunny@gmail.com LinkedIn

Skills

Core Skills

Data EngineeringSnowflakeBig DataData WarehousingBusiness IntelligenceSoftware DevelopmentJava

Other Skills

AI EngineeringAmazon EC2Amazon Web Services (AWS)Apache AirflowApache KafkaApache SparkApplication Programming Interfaces (API)Azure DevOpsBashBig Data AnalyticsBusiness StrategyCloud ComputingCloud DevelopmentComputer NetworkingComputer Vision

About

Experience

6 yrs 9 mos

Total Experience

1 yr 10 mos

Average Tenure

1 yr 2 mos

Current Experience

Thoughtfocus

Senior Big Data, Cloud and AI Engineer || Datawarehouse Architect

Apr 2025 – Present · 1 yr 2 mos · Bengaluru · On-site

Business capability - Data Analytics and AI Engineering (Corporate Development)
Laying down the foundation of Data
End to End responsibility to create a Data pipeline to ingest data from heterogeneous sources in a Medallion architecture in Snowflake.
Responsible for End to End data governance, Resource monitors implementation and builds sturdy platforms to handle different data structures in Datawarehouse.
Data extraction, Snowpark and Notebook orchestration in Snowflake.
Well versed with Snowflake features and implementation.
Heavily used Cortex Extract_Answer, Sentence tokeniser, Text classifier, Text summarize
, Complete, Try_Complete in Snowflake.
Snowflake GenAI Engineer (Cortex, Document AI, RAG)
Working on Airflow, Fivetran, Sigma computing etc.
Streamlit
Cortex Agent - Cortex analyst; Cortex Search, LLM based chatbots.

Data AnalyticsAI EngineeringSnowflakeData GovernanceData PipelineData Engineering

Kipi.ai

Lead Engineer (Snowflake)

Feb 2024 – Mar 2025 · 1 yr 1 mo · Pune, Maharashtra, India · Remote

→ Modernized data platform from legacy SQL Server to Snowflake on the cloud for a global health and wellness company.
→ Migrated all existing data (historical and ongoing) to ensure system reliability.
→ Incorporated scalability and best practices for long-term performance and efficiency.
→ Curated project plan, maintained Azure DevOps Epics, Features, Story points, Bugs, etc.
→ Established the Snowflake platform using RBAC, Resource monitors, Warehouses, External Stages, Database, Table, and Schema.
→ Responsible for extracting 10 PB of data from SQL Server ETL layer using Python-based utility and storing it in S3 buckets.
→ End to End testing for Zero data loss validation using Linked Servers in SSMS utilising A-B, B-A, Count, LoV checks etc.
→ Ingested data through Storage integration into External stages by cleaning, standardizing the data into Raw layer, operating it as truncate and load, and then using deduplication logic in the Datawarehouse layer. The final Semantic layer will be a denormalized table for KPI and business decisions.
→ Ingested real-time data from Datalake with semi-structured file format in JSON and used lateral flattening logic to extract the nested fields.
→ Utilized partition by logic to eradicate duplicate records and used row number to fetch the latest records from the tables in Datalake.
→ Created materialized views to store the precomputed result and reduce the compute cost.
→ Implemented Watchkeeper to keep track of storage.

SnowflakeETLData MigrationAzure DevOpsPythonData Engineering

Zs

Business Technology Solutions Associate

Mar 2022 – Jan 2024 · 1 yr 10 mos · Pune, Maharashtra, India · Hybrid

Data EngineeringBig DataApache SparkData Analytics

Amdocs

Datawarehouse/Business Intelligence Developer (Experienced)

Jul 2019 – Mar 2022 · 2 yrs 8 mos · Pune, Maharashtra, India · On-site

VerticaTeradataSQLData WarehousingBusiness Intelligence

Ardent technologies inc

Advance Java Developer

Dec 2017 – Jan 2018 · 1 mo · Kolkata · On-site

Designed and developed a web-based “Online Training & Placement” system using Java Enterprise Edition 7, enhancing student–placement coordination efficiency.
Implemented Servlets, JSP, and JDBC for dynamic content rendering and real-time data handling within an MVC architecture.
Built and integrated a MySQL database to manage student registrations, training modules, and placement records seamlessly.
Deployed and tested the application on Apache Tomcat, ensuring scalability and smooth user experience.
Tech Stack: Java EE 7, Apache Tomcat, MySQL Workbench, Servlets, JSP, HTML, CSS.

Java EEMySQLServletsSoftware DevelopmentJava

Cnc web world

Core Java Developer

Jun 2016 – Jul 2016 · 1 mo · Pune · On-site

Completed intensive Core Java Training at CNC WebWorld, Pune (June–July 2017), focusing on object-oriented programming principles.
Gained hands-on experience in Java fundamentals, OOP concepts, exception handling, collections, and file I/O.
Built and debugged mini console-based applications to strengthen problem-solving and logical thinking.
Tech Stack: Java SE, Eclipse IDE, JDK, and Core API libraries.

Core JavaJava