Data Analytics Engineer

Summary

AWS Certified, Skilled Data Analytics Engineer with over 6 years of experience in analyzing, interpreting, and building high volumes of data to unveil the hidden trends in Financial, Education, and Retail sectors across the globe. Hands-on experience in SQL, Python, AWS, Spark, and Tableau with a good understanding of big data concepts. Proficient in Data Querying, ETL processes, and Data Warehousing. Expertise in creating analytical reports using BI tools. Excellent understanding of collecting multiple streams of data and decomposing them into concise specifications. Research professional with a Masters degree in Management and Information Systems with an emphasis on Data Analytics from Northern Illinois University.

Technical Skills:
Languages: Python (NumPy, Pandas, Matplotlib, Seaborn, scikit-learn), SQL
Big Data and Database: Microsoft SQL Server, MySQL, Snowflake, Hive, Spark DataFrames, Spark SQL
Cloud Services: AWS-Redshift, Lambda, S3, EC2, Glue, Athena, VPC, Cloudwatch, IAM
Analytics tools: Databricks, Tableau, Power BI, Jupyter Notebook, GitHub

Expectations

I am looking for data roles. I have experience both in analytics and engineering.

Employment Preferences

Expected Base Salary

**,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree

Experience

Skills

• Languages
• Python
• NumPy
• Pandas
• Matplotlib
• Seaborn
• Scikit-learn
• SQL
• Big Data
• Database
• Microsoft SQL Server
• MySQL
• Snowflake
• Hive
• Spark DataFrames
• Spark SQL
• Cloud Services
• AWS-Redshift
• Lambda
• S3
• EC2
• Glue
• Athena
• VPC
• Cloudwatch
• IAM
• Analytics Tools
• Databricks
• Tableau
• Power BI
• Jupyter Notebook
• GitHub