Rohit Goyal

Data Engineer

Bengaluru, Karnataka, India4 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

4+ years of experience in data engineering.
Expert in building reliable data pipelines.
Strong background in data warehousing and ETL processes.

Stackforce AI infers this person is a Data Engineering professional with expertise in building scalable data solutions for enterprise applications.

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Skills

Core Skills

Data EngineeringEtl ProcessesMachine Learning

Other Skills

ADFSAWSAWS GlueActive ListeningAgile MethodologiesAirflowAmazon RedshiftAmazon S3Amazon Web Services (AWS)Analytical SolutionsAnalyticsApache FlinkApache KafkaApache SparkArtificial Intelligence (AI)

About

I am a Data Engineer with 4+ years of experience building reliable data pipelines and systems using tools like Hadoop, PySpark, Hive, and Kafka. I specialize in managing large datasets, improving data quality, and making data accessible for analysis and reporting. I have a strong background in data warehousing, ETL processes, and database management (SQL and NoSQL). I also work with cloud platforms like AWS to optimize data storage and processing. My skills include integrating data from multiple sources, ensuring accuracy, and using machine learning to uncover insights. I enjoy collaborating with teams to align data solutions with business needs and deliver results effectively.

Experience

4 yrs 3 mos

Total Experience

1 yr 8 mos

Average Tenure

11 mos

Current Experience

Brightchamps

Data Engineering Lead

Jul 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

Bosch

2 roles

Senior Data Engineer

Jan 2024 – Jul 2025 · 1 yr 6 mos · Bengaluru, Karnataka, India · Hybrid

1. METIS
Managed data processing from various streams, establishing connections between them to create interactive dashboards.
Enhanced operational efficiency and monitoring services on on-premises servers, achieving a 60% increase in efficiency, which was recognized by customers.
Successfully integrated ARP data, a key log data source, into METIS, resulting in a 25% reduction in hidden assets and providing last-connected location information for over 50% of assets.
Optimized MongoDB query performance by refining indexes, leading to a 73% decrease in API read times.
Implemented networking concepts to facilitate seamless integration of data sources, utilizing tools such as HDFS, PySpark, SQL, MongoDB, Linux/Unix, Git, Hive, and Python.
2. AA India Recommendation System
Developed and executed a PySpark pipeline to process over 2 million records, improving product recommendation scores based on specific requirements and loading the results into the database.
Created a metrics tracking system customized to business needs, measuring the actual performance of targeted activities and processes.
Ensured a robust and efficient data infrastructure for providing accurate and timely recommendations.
Engineered a data pipeline using PySpark, Python, SQL, and Linux, optimizing data processing by 40% and reducing query response times by 25%, facilitating quick decision-making.

HDFSPySparkSQLMongoDBLinux/UnixGit+4

Data Engineer

May 2022 – Dec 2023 · 1 yr 7 mos · Bengaluru, Karnataka, India · Hybrid

Aggregated global Bosch asset information (hardware, network devices, etc.) in one place, applying strategies for unique identification. Explored various data sources, designed and developed large-scale data processing systems, and implemented infrastructure and tools for efficient data collection, storage, and analysis. Created and optimized data pipelines, performed ETL operations, ensured data quality, and extracted valuable insights.