Rahul Singh — CEO
Big Data Engineer with experience in Data Warehousing/ Data Lake, Data Integration and Data Life Cycle Management, Business Intelligence Developer. Extensively worked in designing / developing and architecture Complex Data Integration solutions involving Enterprise and Operations Data Warehouses/Data Lake. • Expertise on HDFS, Map-Reduce, Hive, Sqoop, Flume, Apache Spark, Apache Kafka, ELK Stack • Exposure to NoSql such as Cassandra, Elasticsearch and HBase, • Experience working with Batch/Streaming/Real-time data processing with Flume, Apache Kafka, Spark Streaming, for both structured and unstructured data. • Extensive experience in Object Oriented design and experience with OO development and programming. • Familiarity with standard machine learning libraries like Scikit-Learn, Tensorflow/Keras, NLTK and Pytorch • ETL Tools such as Talend Big Data Studio, Talend Administration Control and BIDS/Data Tools experience.
Stackforce AI infers this person is a Big Data Engineer with expertise in cloud solutions and data integration.
Location: Houston, Texas, United States
Experience: 15 yrs
Skills
- Data Engineering
- Amazon Web Services (aws)
- Technical Leadership
Career Highlights
- Expert in architecting complex data integration solutions.
- Proficient in both batch and real-time data processing.
- Strong background in cloud and AI solutions.
Work Experience
Impetus
Solutions Architect (1 mo)
Amazon Web Services (AWS)
Technical Account Manager (8 mos)
AWS Serverless Analytics Engineer (2 yrs 1 mo)
Big Data Specialist (2 yrs 1 mo)
Cognizant
Architect (1 yr 9 mos)
Senior Associate (2 yrs 11 mos)
Associate (2 yrs 7 mos)
Programmer Analyst (1 yr 10 mos)
Programmer Analyst Trainee (1 yr)
Education
Bachelor of Engineering (BEng) at BCE
12th at D.A.V Public School