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Lead Python Developer Resume

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Detroit, MI

SUMMARY

  • More than 10 years of experience as advanced python developer, predictive analytics, real - time optimization, processing/automating processes, discovering trends/anomalies and building scalable solutions
  • Provide thought leadership and strategic direction for where data science can solve challenging problems across the organization - determining where to focus, how to prioritize, and where to make investment.
  • Expertise in Statistical data analysis, data profiling, data designing and data management for large and complex data sets.
  • Experienced in Gathering, Cleaning, and Visualizing Data
  • Experience in project deployment using Heroku/Jenkins and using web services like Amazon Web Services (AWS) EC2, AWS S3, Auto scaling, Cloud watch and SNS.
  • Good experience with cloud platforms like Amazon AWS
  • Used Amazon Web Services (AWS) for improved efficiency of storage and fast access.
  • Performed data analysis, statistical analysis, predictive analysis and generated reports listings and graphs using Python, Excel, and Tableau.
  • Experience in Snowflake Data Warehousing using MySQL Server DB, ETL through SSIS and Informatica, performing OLAP tools and creating Reports.
  • Knowledge about setting up python REST API framework using django
  • Provide scaled support to resolve user issues, identify user trends, and work with cross- functional partners to resolve issues
  • Used Django API's for database access and workd on databases like MySql, Postgres
  • Created templates for page rendering and django views for business logic
  • Expertise in developing Pig Latin Script and Hive Query Language.
  • Experience in Business Intelligence, Data Modeling, Data Warehousing concepts, OLAP, ETL tools and Analytics.
  • Expertise in creating filters, quick filters, data source filters, global filters, context filters, user filters and creating Dashboards for key Performance Indicators.
  • Expertise in AWS platform and its features like EC2, IAM and LAMBDA
  • Implemented a server less architecture using API Gateway, Lambda and Dynamo DB
  • Worked with python libraries like Matplotlib, NumPy, SciPy and Pandas for data analysis. Connected Python with Hadoop to perform Hive and Spark to perform data analysis.
  • Developed Tableau workbooks from multiple data sources using Data Blending.
  • Proficient in Data Visualization techniques - creating reports and dashboards (Power BI, Tableau, Excel)
  • Highly experienced in gathering, understanding, and analysis of business requirements, design, execution, time and cost estimates.
  • Experience onPythonfor statistical computing. Also experience withSpark, Excel,andSAS.
  • Excellent team player with ability to work independently along with strong analytical and communication skills.

TECHNICAL SKILLS

Programming: AI-Robotics, Python, Apache Beam SDK, NumPy, Pandas, Scikit-Learn, NLP, Matplotlib, React JS, Java, SAS

Database Management: Oracle - SQL and NoSQL, Microsoft SQL Server, MySQL, MongoDB

Tools: Power BI, Tableau, Linux, QlikView, MS Excel, MATLAB, Jupyter, Bitbucket, Jenkins

Cloud Platforms: AWS Lambda, DynamoDB

Big Data: Apache Spark, Hadoop MapReduce, Hive, Impala, HBase, Flume, Pig, Oozie, HDFS, YARN, Azure databricks

Analytics: Data Cleansing, Data Mining, Data Wrangling, Data Analysis, EDA, PCA, Linear Algebra, Biostatistics, Calculus Statistical Modeling Central Limit Theorem, Regression, Classification, A/B Testing, Dimension Reduction, Segmentation

Machine Learning: Reinforcement Learning Decision Tree, Random Forest, Reg.(Linear & Logistic), Naive Bayes, KNN

PROFESSIONAL EXPERIENCE

Confidential, Detroit, MI

Lead Python developer

Responsibilities:

  • Have set up the python environment using apache beam SDK which uses type hints during pipeline construction and runtime to emulate the correctness guarantees achieved by true static typing
  • Utilized analytical applications to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into risk management and marketing strategies that drive value
  • Setup and build infrastructure various resources like EC2, VPC, S3 security group, auto scaling and RDS in clod formation JSON templates
  • Experienced with AWS cloud platform and its feature, which includes EC2, S3 and cloud watch
  • Used the AWS-CLI to suspend on AWS Lambda function
  • Used AWS CLI to automate backup of ephemeral data stores to S3 buckets EBS
  • Introduced new features and solved existing bugs by developing code for a cloud-based integration platform and migrated customer data to AWS
  • Handled operations and maintenance support for AWS cloud resources which includes launching, maintaining and troubleshooting
  • Used Django API for database access and word on databases like MySql, Postgres
  • Experience on using Django admin and created superusers, updated tables in the database
  • Developed web application using MVC architecture with the help of Django framework

Environment: Python 3X, AWS, Django, Tableau Desktop, NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Spark-ML, Random Forests, SVM, TensorFlow, Keras, Teradata 14.1 and Git

Confidential

Python developer- Senior Software engineer

Responsibilities:

  • Collaborated with multiple business stakeholders, data owners, Cloud teams Azure and AWS Architects
  • Collaborated with developers and technical leads on detailed data designs and specifications to ensure alignment with project goals and long-term data strategy.
  • Managed security in AWS infrastructure using AWS secret manager, key management service
  • Worked on a project driven on AWS connect where we enabled communication between lambda and customer
  • Manage service account credentials, database credentials, password through AWS secret manager
  • Coordinated with devops team to deploy the application on AWS resources
  • Ensured data management best practices are being followed when developing new data assets.
  • Created templates for page rendering and django views for business logic
  • Used django REST framework and integrated new and existing API's endpoints

Environment: AWS - Glue, Django, Dynamo DB, Snowflake, Python, Spark, Sagemaker

Confidential

Python developer- Software Engineer

Responsibilities:

  • Implemented business logic using python web framework Django
  • Implemented model view control architecture in developing web applications using Django framework
  • Used Django API for database access
  • Created the REST API using python and used Django

Environment: Python 3X, AWS, Django, Tableau Desktop, NumPy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Random Forests, SVM, TensorFlow, Keras and Git

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