Rahul Das — Data Engineer

I am a seasoned Data Engineer with a proven track record of bridging the gap between raw data and actionable insights. My skill set includes proficiency in Python, Scala, Apache Spark, ETL processes, and Google Cloud Platform (GCP)/AWS tools. With over 3 years of experience, I excel in crafting and maintaining robust data pipelines, ensuring data quality, and driving data-driven decision-making. Key Skills: Data Pipeline Development: I specialise in designing end-to-end data pipelines that facilitate seamless data flow across diverse sources, ensuring reliability and availability. Apache Spark Expertise: Leveraging the power of Spark, I process and analyse vast datasets in real-time, harnessing distributed computing capabilities for rapid insights. ETL Mastery: My ETL processes transform raw data into usable formats, enabling data scientists and analysts to work with accurate and reliable datasets. Cloud Solutions: I create scalable and cost-effective data solutions using GCP/AWS services like BigQuery, RedShift, Dataflow, Dataprep, Dataproc, AWS Glue, Cloud Pub/Sub, BigTable and Cloud Storage and many more, tailored to meet specific organisational needs. Collaboration: I have worked closely with cross-functional teams, including Data Scientists and Analysts, to understand data requirements and deliver optimal solutions. Performance Optimisation: Constantly monitoring data pipelines, I identify bottlenecks and fine-tune performance to ensure data flows smoothly. Data Security and Compliance: I implement robust measures to maintain data privacy and adhere to relevant regulations. My dedication lies in building and maintaining data infrastructure that empowers organisations with the insights they need for informed decision-making. If you seek a Data Engineer with a strong technical foundation, a knack for optimisation, and a commitment to data integrity, I am here to help you drive your data projects to success.

Stackforce AI infers this person is a Data Engineering expert with a focus on cloud-based solutions.

Location: Mumbai, Maharashtra, India

Experience: 4 yrs 11 mos