Rohit Ranjan

Consultant

Noida, Uttar Pradesh, India15 yrs 5 mos experience

Highly Stable

Key Highlights

Over 15 years of experience in data engineering and machine learning.
Led a team to build scalable data solutions at Times Internet.
Passionate about fostering collaboration and innovation in tech.

Stackforce AI infers this person is a Data Engineering and Machine Learning expert in the SaaS industry.

Contact

Skills

Core Skills

Big DataData EngineeringMachine Learning

Other Skills

Apache Spark StreamingAmazon Web Services (AWS)TrinoApache KafkaApache AirflowRedisJavaApache SparkApache Spark MLSpringWeb ServicesDesign PatternsAgile MethodologiesTechnical RecruitingSoftware Development

About

As the Tech Head of DMP R&D at Times Internet, I lead a team of data engineers and data scientists who are responsible for building and deploying data and machine learning solutions for various products and platforms across the company. I have over 15 years of industry experience in designing, developing, and delivering scalable and robust microservices, data pipelines, data analytics, and data science applications using cutting-edge technologies such as Apache Spark, Apache Spark Streaming, Apache Spark ML, HBase, and Solr. My mission is to leverage my technical expertise and leadership skills to drive innovation and excellence in the data and machine learning domain, and to create value for the company and its customers. I am passionate about solving complex and challenging problems, exploring new possibilities, and learning new skills. I am also committed to fostering a collaborative and supportive culture within my team and across the organization, where everyone can contribute and grow. I am looking for a transformative leadership position, such as Vice President or Chief Technology Officer, where I can further apply my skills and capabilities to achieve strategic goals and visions.

Experience

Hunch

Senior Consultant

Apr 2024 – Jul 2024 · 3 mos · UAE · Remote

As a consultant at Hunch, I am leading the architecture and design of an advanced data pipeline. My primary focus is on reducing costs while building a robust system capable of capturing all events and user actions. This system supports both real-time and batch data processing to power our sophisticated recommendation engine.
Key technologies in our stack include:
Kafka: For real-time data streaming and event capturing.
Spark: To process large-scale data in real-time and batch modes.
Airflow: To orchestrate complex data workflows.
AWS: To leverage cloud services for scalability, reliability, and cost-efficiency.
Redis: To provide fast, in-memory data storage and caching.
This architecture ensures that we can provide timely and accurate recommendations to our users, enhancing their overall experience and engagement with our platform.