π Head of Data with demonstrated leadership prowess and a strong track record in building end-to-end data platforms for startups and corporations. Proficient in building petabyte-scale data solutions enabling enterprises to streamline data lifecycle and turn data into actionable insights.
class ShubhamSkills():
def __init__(self):
self.info = "Shubham Bhatnagar Skills";
self.tech_skills = {
"Cloud": ["AWS", "Azure", "GCP"],
"AWS": ["Glue", "EMR", "Athena", "Redshift", "Lambda", "Batch", "DynamoDB", "Quicksight", "RDS", "SCT", "Aurora"],
"Azure": ["Blob", "Azure Data Factory", "Databricks", "DMA", "Azure Migrate", "DMS", "CosmosDB", "Azure SQL DB"],
"GCP": ["Cloud Storage", "DataFlow", "BigQuery", "Google Analytics"],
"Data Engineering": [
"AirFlow",
"FastAPI",
"Data Migration",
"Data Architecture",
"Data Modernisation",
"Data Warehousing",
"Elasticsearch",
"Data Modelling",
"Exploratory Data Analysis",
"Data Governance",
"Data Security",
"Data Compliance",
"Kibana"
],
"Languages": ["Python", "PySpark", "PowerShell", "Bash", "SQL", "Scala"],
"DevOps": ["Jenkins", "Docker", "Git", "Kubernetes", "Azure Devops", "Pipelines", "CI/CD", "Elasticsearch", "Kibana"],
"Data Science": ["Recommender Systems", "Machine Learning", "Statistics", "NLP", "AI"],
"Data Stores": ["MSSQL", "PostgreSQL", "MongoDB", "Redis", "HDFS", "Cassandra", "ArangoDB"]
},
self.soft_skills = ["Leadership", "Interpersonal Skills", "Work Ethic", "Creativity"],
self.industries = ['Healthcare', 'Media', 'Research', 'Finance', 'FinTech', 'Payroll']
def __str__(self):
return self.info
if __name__ == '__main__':
shubham_skills = ShubhamSkills()
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π Areas of Interest
𧬠Bioinformatics
π Statistics
β― Mathematics
π€ Machine Learning
π§ Artificial Intelligence
π¬ Research
π©» BioHacking
π₯ Healthcare and Nutrition
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π± Iβm currently learning
π€ Application of Python and ML in Bioinformatics
π§ Advanced Data Architecture Design
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π Outside of work I enjoy
ποΈ Sketching
π₯Ό Research
π§ Self learning
π§ Mindfulness
π Reading
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π« Contact