Ruthvikvarun Billa

Data Engineer

Hyderabad, Telangana, India2 yrs 10 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in designing scalable data pipelines.
Proven track record in optimizing ETL processes.
Strong collaboration skills with cross-functional teams.

Stackforce AI infers this person is a Data Engineering expert in SaaS environments, focusing on scalable data solutions.

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Skills

Core Skills

Data EngineeringEtlAutomationReal-time Data ProcessingDatabricksAudience EngagementData ModelingData Pipeline Design

Other Skills

Apache AirflowApache KafkaBitbucketC++Campaign OptimizationChange Data CaptureClickstream DataCommunicationCost ReductionDBTData HygieneData PipelinesData QualityData StructuresData Visualization

About

As a Data Engineer II at Junglee Games, I design, build, and optimize scalable data pipelines that empower business stakeholders to make smarter, data-driven decisions. My expertise spans Apache Airflow, PySpark, Databricks, and AWS, enabling me to orchestrate complex ETL workflows and process massive datasets efficiently. With a B.Tech in Electronics and Communications Engineering from MNIT Jaipur, I combine a robust technical foundation with hands-on experience in real-world data engineering challenges. At Junglee Games, I’ve contributed to streamlining data workflows, improving data quality, and accelerating the delivery of actionable insights. I thrive in collaborative environments and am passionate about exploring new technologies to solve challenging problems. If you’re interested in data innovation or want to connect on emerging trends in data engineering, let’s connect!

Experience

2 yrs 10 mos

Total Experience

2 yrs 10 mos

Average Tenure

2 yrs 10 mos

Current Experience

Junglee games

3 roles

Data Engineer - 2

Promoted

Jan 2025 – Present · 1 yr 4 mos · Bengaluru, Karnataka, India · On-site

Spearheaded the development of an internal automation platform for backfilling data, decreasing manual effort by
80+ mandays. Designed it to support regression testing, enforce production data hygiene, and enhance visibility
and control over data transitions. Drove the initiative end-to-end—from technical design to company-wide rollout
and adoption.
Led a initiative to improve clickstream data usability — reduced processing latency to 30 minutes,
enabling near real-time, data-driven decisions across product and analytics functions. Worked closely with 10+
cross-functional teams to align on a unified data strategy. . Built tools to deliver actionable real-time
insights, improving operational responsiveness and trust in data pipelines

Apache AirflowData PipelinesETLData QualityData Engineering

Data Engineer - I

Promoted

Jul 2023 – Jan 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India · On-site

Migrated 400+ ETL jobs to Databricks within 1.5 months, reducing execution time by 25% and infrastructure
costs by 20%.
Replaced batch ETLs with Change Data Capture (CDC)-based Delta pipelines, improving data freshness and
stability across key dashboards.
Developed and deployed a monitoring framework to detect stream lag, enabling faster resolution and improved
pipeline uptime.
Led the Audience Impressions initiative — defined KPIs and integrated impression tracking across marketing
campaigns, in-app communication, and ads. Enabled teams to better measure audience engagement and optimize
campaign performance, resulting in a 50% increase in clicks and improved control over ad spend.
Served as the primary engineer for a high-impact product line, managing implementation while liaising directly
with stakeholders for alignment and delivery

DatabricksChange Data CaptureDelta PipelinesMonitoring FrameworkAudience EngagementData Engineering+1

Data Engineer

Jan 2023 – Jul 2023 · 6 mos · Bengaluru, Karnataka, India · On-site

Built aproof-of-concept with DBT that introduced modular, testable data models—paving the way for production
level adoption.
Supported key product rollouts by building reliable data pipelines, ensuring on-time and accurate data availability
for new features.
Notable Project: Designed aDocker-based end-to-end data pipeline — ingested data via SQL into S3, processed
using Spark and DBT, loaded into Snowflake, and visualized insights in Tableau

DBTData PipelinesSQLS3SnowflakeTableau+2