jessica claire 9 resumesampleexamplecom 555 4321000 montgomery street san francisco ca 94105 summary 7 years industry experience encompassing wide range skill sets working data analytics data integration fields web application development skillset includes etl development web development rest django gcp hadoop python sqlno sql unix scripting data warehousing experience analysis design development implementation banking applications web applications worked agile methodology continuous integration cicd processes searching opportunity bring 7 years data engineering experience efficiently contribute companys growth grow big data technologies cloud platforms data science skills languages python java bash shell scripting cloud frameworks google cloud platform docker kubernetes services web technologies json javascript html rest django data warehousingetl informatica 910 abinitio 33 rdbms oracle sql nosql bigquery hive scheduling tools controlm ca7 data visualization tools congnos tableu education training university mumbai computer engineering certifications linkedin certifications apache spark essential training analyzing bigdata hive experience syllable senior software engineer new york ny 072019 current developing restful web application using pythons django web framework using google cloud platform using multiple google cloud platform python libraries utilize cloud services storage cloud build stack driver datastore cron jobs big query creating automated code deployments docker google cloud builds deploying containerized web applications kubernetes optimizing big query solution creating mega schema handling keen analytics data archives creating big query exports services datastore import exports using big query complex queries data statistics reports working agile methodology using tools like jira sprint planning using using git tagging cloud build create automated deployment creating api test cases using newman test suit integrate google cloud working api profile performance report using python context manager enhancement working using context cache creating google cloud project development environment making ready test data exporting test data datastore using cloud functions call build triggers using google cloud container registry use built container images kubernetes engine using google cloud kubernetes engine create monitor kubernetes clusters workloads creating gcloud services like geoimaging handle map images web applications different formats integrating gcp tsr inc data analyst orlando fl 102015 062019 understanding business requirements use data source applications like als acaps designing etl process building different abinitio graphs implement etl process suntrusts consumer applications based design using data lake architecture validating data lineages using meta data hub eme dependencies validati performance improvement etl process using resource pool worked meta programming dependency analysis pdl meta hub data lineage control center creation unix scripts accommodate client requirement manage data controls loading data oracle tables db2 tables using hadoop distributed file systems load data using partitions hive partitions analyze data loaded distributed systems using interface like hue led technical team onsite offshore order meet task deliverables clearesult inc senior etl developer il state india 012014 092015 modification existing etl graphs based lld design migration points graph enhancements using pdl maintaining version eme objects creation psets generic object dependency analysis da pset created end end testing manual graphs created based etl process dependencies developing test case documents unit testing testing overall process automated scheduling using control scheduler environment data validation using development production data comparison jpmorgan chase co etl developer jackson ms india 022013 012014 extracting data mainframe apply transformation rules defined various transform components using mapping documents using graphs generating load ready files validate results target data format involved end end data validation interacting business users uat loading data appliance database like db2 using etl load utilities defect handling backtracking etl process using abinitio creating generic shell scripts add data quality checks preparing updating highlow level documents mapping documents per client requirements enhancementdefect activities honors