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Senior Data Engineer
Experienced Senior Data Engineer specializing in ETL and cloud solutions.
United StatesSenior Data Engineer at Conifer Health Solutions
Collaborated with Business Analysts and SMEs to gather business requirements, applying problem-solving and decision-making to prioritize tasks. Developed and deployed Spark applications using Scala, PySpark, Spark Core, Spark SQL, and Spark Streaming within AWS EMR clusters, ensuring scalable processing of EHR, Healthcare, and e-commerce data pipelines in PHI-compliant environments.
SparkPySparkAWS LambdaAWS GlueSnowflakeDBTKubernetesJenkinsFigmaPCI DSSHL7 FHIRHIPAA
Developed highly complex Python, Scala, and Go code for banking/finance data processing and analytics. Utilized Azure Data Factory for ETL processes, focusing on data transformation, cleansing, validation, and quality assurance, complemented by complex SQL queries using Spark SQL dataframes within Azure Databricks and BigQuery.
Currently pursuing a Master of Science in Data Science, focusing on advanced data analysis, machine learning, and statistical modeling. Gaining expertise in various data science methodologies and tools.
PythonScalaAzure Data FactoryDatabricksBigQueryKafkaRabbitMQAzure HDInsightPySparkAirflowSnowflakeDBTAzure DevOpsDockerAzure Kubernetes ServiceTerraformPCI DSSGDPRGo
Conducted detailed analysis of data issues, mapping data from source to target, and performed data cleansing on the Data Warehouse. Designed ETL specification documents and implemented pipelines using Informatica, Azure Data Factory, and Apache Sqoop to load data into target systems.
InformaticaAzure Data FactorySqoopSnowflakeTableauDomoGitGitHubSeleniumSQLNoSQLHBaseCassandraREST APIsMicroservicesGDPRHIPAA
Profile sourced from Himalayas.