๐๐๐๐๐๐ ๐ณ๐๐๐ ๐ด๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐ข ๐ ๐๐๐๐๐๐ ๐๐ ๐ถ๐๐๐๐๐ก ๐ฆ ๐ถ๐๐๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐๐๐๐๐๐๐๐ ๐๐๐๐ ๐๐๐๐๐ ๐ถ๐ข๐๐ ๐๐๐ ๐ฑ๐๐๐๐๐๐๐๐๐ ๐ ๐๐๐ ๐ฐ๐๐๐๐ข๐๐๐๐ ๐๐๐ ๐ฑ๐๐ ๐ณ๐๐๐ ๐๐๐๐๐๐๐๐๐ ๐
๐ฟ๐๐๐๐๐๐๐ ๐ธ๐๐๐๐๐๐๐๐: ๐๏ธ๐ท๐น๏ธ๐ธ๐ฟ๐๐ฉโ๐ณ
๐ฒ๐๐๐๐๐๐๐๐ ๐ ๐๐๐๐๐๐: ๐ต๐ญ, ๐ธ๐ฌ, ๐จ๐ณ, ๐ฌ๐ง, ๐บ๐ธ, ๐ณ๐ฑ, ๐ซ๐ท
๐ฒ๐๐๐๐๐๐ ๐ป๐๐๐๐๐๐๐: ๐ ๐ฒ๐๐๐, ๐ผ๐๐๐๐๐๐, ๐ธ๐๐๐๐๐๐ ๐ฎ๐ช
const brid = {
pronouns: "She" | "Her",
code: ["Python", "SQL", "Javascript"],
askMeAbout: ["data engineering", "big data", "data ops", "photography", 'fitness', 'cooking'],
technologies: {
databases: ["Redshift", "Cassandra", "Firebase", "MySql"],
etl: {
frameworks: ["Airflow", "Glue", "DBT"]
},
ingestion: {
frameworks: ["Stitch", "Fivetran", "AWS Kinesis", "AWS Firehose"]
},
devOps: ["AWS", "Docker๐ณ"],
misc: ["Looker", "Notion Builder", "Postman API Collections", "Jupyter Notebooks"]
},
architecture: ["Data Lake Architecture", "Extract Transform Load Pipelines", "Big Data Architecture"],
currentFocus: "Building Analytics solutions to give customers valuable insight into their business",
joke: "A SQL query walks into a bar, approaches two tables and asks 'Can I join you?'"
};