
Data Professional with a Master of Science in Data Science and a Bachelor of Technology in Electronics and Communication Engineering. Delivered impactful data modeling and integration solutions through expertise in Python, Java, R, SQL, and cloud platforms, demonstrated in projects involving Medallion architecture on Databricks. Pursuing Databricks Data Engineer Associate certification to enhance data engineering capabilities. Practical database engineer possessing in-depth knowledge of data manipulation techniques and computer programming paired with expertise in integrating and implementing new software packages and new products into system. Offering several-year background managing various aspects of development, design and delivery of database solutions. Tech-savvy and independent professional bringing outstanding communication and organizational abilities. Meticulous professional brings expertise in testing, validating, and reformulating models. Employs statistical software to manipulate data and forecast outcomes. Proven history of designing and implementing data collection innovations.
Big Data Technologies
Hadoop, MapReduce, Spark (Core, SQL, Streaming, MLlib), Hive, Pig, Sqoop, HDFS, YARN, Oozie, Airflow, Cloudera, Impala, HBase
Programming Languages
Python, PySpark, Scala, SQL, PL/SQL, T-SQL, C, C, PowerShell, Shell scripting
Cloud Services
Azure Data Factory, Blob storage, Data Analytics, Data Bricks Azure SQL DB, Data Bricks, AWS RDS, SaaS, Amazon Redshift, Amazon SQS, Amazon S3, AWS EMR, AWS S3, Redshift, Glue, AWS SNS, BiqQuery
Databases
Snowflake, Teradata, Oracle, SQL Server, PostgreSQL, MySQL, MS Access
NoSQL Data Databases
MongoDB, Cassandra, DynamoDB, HBase, Cosmos DB
ETL & Orchestration Tools
DBT, Informatica, Talend, SSIS, Oozie, Apache Airflow, Prefect, Cloud Composer, Apache NiFi, AWS Step Functions, DataStage, Stitch ETL