Remote worker with 4+ years of experience - Last seen 1 year ago

Master's degree in Data Science and Analytics from the University of Hertfordshire (UK) with 3.5 years of experience, specializing in Big Data development using Hadoop and Spark in Scala.

Proficient in various Big Data tools and technologies such as Hive, Sqoop, Spark, Spark SQL, Airflow, and DBT with extensive knowledge of Hadoop ecosystems and migration projects.

Hands-on experience in data ingestion using tools like Azure Data Factory, Azure Databricks, Azure Event Hubs, and Azure Stream Analytics, capable of processing large datasets of structured, semi-structured, and unstructured data.

Skilled in complex data processing with Spark RDDs and DataFrames, optimizing applications, assessing business rules, and collaborating with stakeholders for source-to-target data mapping and design.

Strong database experience in MS SQL Server, expertise in Hive table creation, join operations, MapReduce concepts, and cloud services such as AWS (EMR, S3, EC2) and Microsoft Azure (Azure Synapse, Logic Apps, Stream Analytics). Proficient in troubleshooting and tuning programming languages like SQL, Python, Scala, Hive, RDDs, DataFrames, and MapReduce.

🛂 Nationality	🇮🇳 India
🏡 Residency	🇮🇳 India
📍 Location	🇮🇳 India
Remote OK	rok.co/@uvsagar
LinkedIn	sdfljasfjkhsdfajsf ⭐️ Upgrade to Premium to contact
Skilled in	hadoop apache hive apache spark sqoop hdfs spark streaming spark sql aws glue aws athena aws kinesis aws redshift aws dynamo db kafka nifi databricks azure synapse analytics azure data studio azure data factory ms sql hbase cassandra elasticsearch postgres sql server python pyspark scala tsql microsoft azure aws microsoft data engineering with azure dp 203 git bitbucket
Fluent in	english
Preferred timezone	+5, +1
Preferred annual pay (min)	$30,000/year
Preferred hourly pay (min)	$15/hour
Last seen	1 year ago
Signed up	1 year ago
Badges	👨‍💻 Remote worker 🎖 Early adopter