Krishna Pala

Designed and implemented Invoice Tax Transactions Pipeline with a team

Led the payments data engineering team responsible for data processing of critical risk fraud detection, analytics, charge back and payment reconciliation processes at Appfolio, a property tech SAAS platform. • Built the data engineering team from ground up, hiring and mentoring junior engineers • Designed and built ETL data pipelines and streaming data pipelines processing millions of payment transactions monthly • Designed the system architecture and developed multiple robust applications on AWS and Snowflake • Built real time steaming pipelines to assess risk from each payment transaction • Built the infrastructure using Terraform • Work with product managers to evaluate business specifications and define technical requirements • Collaborate and provide consulting on cross team projects on technical design • Evaluate technology options in the industry to identify the best suited framework/tool for the problem • Manage work prioritization, allocation and distribution amongst the team • Participate in team and peer performance reviews to drive team growth

Worked on building AWS cloud based TV control systems, automatic content recognition (ACR) and data streaming/processing frameworks and data pipelines

Oppenheimer Funds, Denver, CO : OFI DST Team is responsible for data availability from Salespage application to end customers reporting. Role: Software Engineer/Data Engineer Responsibilities: • Worked as Python Developer for Product Development Engineering Team that is responsible for development and delivery of CCR project. • Developed python modules and classes to process, clean up and data load into PostgreSQL database using best techniques. • Brought down existing running job from 1.5hrs to 30mins using the best techniques in python programming. • Developed SQL queries using the best techniques in PostgreSQL. • Used ec2, s3,rds,cloudwatch of AWS. Technologies used: Python, OOP concepts , PostgreSQL, AWS

Role : Data Engineer/Machine Learning Engineer Worked as Senior Member Technical staff for Product Development Engineering Team that is responsible for development and delivery of Oracle Analytics Cloud (OAC) products. • Built Sentiment Analysis models for Sales leads to Opportunity conversion using Stanford NLP, VADER analysis. • Built Sales service renewal prediction models and end to end solution for Oracle CRM data using classification and regression models’ concepts of Data Science and machine learning algorithms. Technologies used: Python, Data Science concepts and machine learning algorithms. • Worked on Oracle BI publisher log parsing to identify patterns and address the effective usage of the product by the customers. Technologies used: Python, Oracle SQL, Dimensional data modelling, Data Science concepts. • Automated containerization and provisioning for next-gen application suite. Technologies used: Python, Docker, Shell Scripting.

Role : Database/Python Developer Worked as a highly reliable Product Database Developer for Engineering Team which is solely responsible for the development and maintenance of FireEye Security products. Technologies used: SQL, PostgreSQL, Unix and Python

Role: Database Applications Developer • Worked as a highly reliable Database Developer (Oracle – PL/SQL) and Subject Matter Expert for Engineering IT team that is solely responsible for the development and maintenance of Sales and Reporting Applications. • The team works on creating and managing business logic intensive systems for crediting, compensation and reporting of orders placed by Cisco’s sales force and partners. The applications have a direct impact on visibility provided to the sales force and business users leading to critical business decisions such as goal sheet creation and evaluation for the fiscal year. Technologies used: SQL, Oracle Pl/Sql, SAP BO, Unix, Oracle E-Business suite Solution.