Tushar Vyas

Software Engineer

Bengaluru, Karnataka, India1 yr 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable data pipelines.
Proven track record in optimizing workflows.
Strong background in cloud technologies and data engineering.

Stackforce AI infers this person is a Data Engineering specialist in the Gaming industry.

Contact

Skills

Core Skills

JavaData EngineeringCloud TechnologiesBackend DevelopmentMonitoringAi Development

Other Skills

pythonDatabricksRedshiftData PipelinesSpring BootSlack webhooksETLNLPMachine LearningScalaExpress.jsBack-End Web DevelopmentPySparkAzure DatabricksAmazon Web Services (AWS)

About

Transforming data into meaningful stories, building scalable pipelines and efficient systems that empower businesses to make smarter decisions. A Software Engineer by profession, I specialize in taming complex datasets, optimizing workflows, and designing robust, maintainable solutions. From SQL to Python, cloud technologies, and software design patterns, I thrive at the intersection of technical expertise and creative problem-solving-because data doesn’t just talk; it drives innovation. Please feel free to get in touch with me via email at tusharvyas895@gmail.com.

Experience

1 yr 9 mos

Total Experience

1 yr 3 mos

Average Tenure

6 mos

Current Experience

Spotnana

Software Engineer II

Nov 2025 – Present · 6 mos · Bengaluru, Karnataka, India · Hybrid

Gameskraft

Software Engineer

Jul 2024 – Oct 2025 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Set up Databricks infrastructure for onboarding new games and led migration from Redshift to Databricks, ensuring scalability, cost optimization, and improved performance for data pipelines.
Designed a high-throughput aggregation service for user data with efficient query patterns and scalable architecture, reducing query latency by 40% and enabling real-time dashboarding for stakeholders.
Designed and developed a backend module to retrieve poker hand histories with pagination, filtering, and access control. Used Spring Boot, Redshift queries to extract data in a user interactive format.
Proactively developed internal Alerts to monitor ETL failures and data inconsistencies using Slack webhooks and retry mechanisms, reducing MTTR for data issues by 80%.
Collaborated with cross-functional stakeholders to gather evolving data needs, debug discrepancies, and optimize workflows—demonstrating ownership and accountability across the data stack.
Developing an AI-Based Poker Chat Profanity Detection system, leveraging NLP models to flag toxic chat messages in real-time, enhancing user safety and compliance within gameplay environments.

JavapythonData Engineering

Sigmoid

Data Engineering Intern

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

Engineered end-to-end data pipelines using Apache Spark, Kafka, and Airflow, implementing real-time streaming architecture and automated data quality frameworks for healthcare and telecom domains.
Designed cloud-native data architecture leveraging Snowflake, AWS S3, and MongoDB for optimized data processing and analytics, while developing PowerBI dashboards for stakeholder insights and decision-making

pythonScalaData EngineeringCloud Technologies