Pavan Sai K.

Data Engineer

India3 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

Expert in building scalable data pipelines and analytics platforms.
Proficient in Snowflake and dbt for data transformations.
Strong background in CI/CD and automated data testing.

Stackforce AI infers this person is a Data Engineer specializing in SaaS and IoT solutions.

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Skills

Core Skills

Data EngineeringSnowflakeData Build Tool (dbt)Mern StackInternet Of Things (iot)

Other Skills

SQLCI/CDMQTTHTTPGenerative artificial intelligence (AI)Amazon Web Services (AWS)Software DeploymentAirflowAlertingData ModelingSecurityTestingLakehouseDelta LakeDelta Live Tables

About

Data Engineer with 3+ years of industry experience building and maintaining scalable data pipelines and analytics platforms, with a primary focus on Snowflake and dbt-based transformations. In parallel with my professional work, I’ve developed hands-on experience through self-driven projects using Apache Spark and Databricks, focusing on performance optimization, fault-tolerant pipeline design, and Lakehouse-style architectures. I bring a software engineering mindset to data engineering, emphasizing clean design, CI/CD, version control, and automated data testing to build reliable and maintainable systems.

Experience

3 yrs 5 mos

Total Experience

3 yrs 5 mos

Average Tenure

3 yrs 5 mos

Current Experience

Ibm

2 roles

Data Engineer

Jan 2023 – Present · 3 yrs 5 mos · Hyderabad, Telangana, India · Hybrid

Architected scalable Star Schema models on Snowflake to replace legacy systems, optimizing marketing analytics for cloud performance and query efficiency.
Modernized data pipelines by refactoring legacy SQL stored procedures into modular dbt models, introducing version control, data lineage, and reusable macros.
Optimized high-volume dataset performance by implementing Snowflake clustering and incremental loading strategies, significantly reducing query latency.
Established a Git-based CI/CD workflow with automated dbt data quality tests, replacing manual deployments to ensure production reliability and zero-downtime cutovers.
Configured Snowflake resource monitors and auto-suspend policies to optimize compute costs, ensuring efficient scaling that strictly aligned with analytics workload usage.

SQLData Build Tool (DBT)SnowflakeData EngineeringCI/CD

Project Intern

Feb 2022 – Jul 2022 · 5 mos · Bengaluru, Karnataka, India · Remote

Engineered a Digital Twin interface using the MERN stack on IBM Watson, enabling users to visualize and monitor real-time sensor telemetry.
Optimized data transmission by implementing MQTT and HTTP protocols, ensuring secure, low-latency communication between edge devices and the cloud.

MERN StackInternet of Things (IoT)MQTTHTTP