
Over 5 years of IT experience in Big Data and Business Intelligence technologies.
• Proficient in SQL, Python and Extraction, Transformation and Loading (ETL) data from various sources into Data Warehouses
• Worked on Hadoop ecosystem technologies including Hadoop, Spark, MapReduce, Kafka, Hive, Sqoop and HBase.
• Experience in analyzing data using HiveQL, Spark SQL.
• Experience with Hadoop Distributions like Cloudera and Hortonworks.
• Worked on Dimensional Data modelling in Star and Snowflake schemas and Slowly Changing Dimensions (SCD).
• Extensive experience in Amazon Redshift, managing and optimizing Amazon Redshift databases for large-scale data warehousing projects.
• Experienced in database monitoring, troubleshooting, and optimization.
• Strong analytical and problem-solving skills with excellent communication abilities.
SQL
Python
Hadoop Stack: HDFS, MapReduce, Hive, HBase
AWS Stack: Amazon S3, Amazon Redshift, Lambda, IAM, SNS, SQS, CloudWatch, EC2, EMR, Managed Apache Airflow, RDS, AWS Glue
Spark
Oracle 9i/10g/11g/12c
Informatica Power Center
Power BI
Big Data and Hadoop certification from Edureka