Dynamic Data Engineer with proven expertise at Littlepay in ETL development and data pipeline design. Achieved operational excellence through robust AWS solutions and advanced data quality assurance. Skilled in Python programming and technical documentation, fostering team collaboration to drive impactful data-driven decisions. Passionate about leveraging data for strategic innovation.
Hi, I’m
Sanee Salim
Data Engineer
Bayswater
Summary
Overview
9
years of professional experience
2
years of post-secondary education
7
Certificates
Work History
LittlepayMelbourne, Victoria
Mid Level Data Engineer
08.2024 - Current
Job overview
- Engineered scalable ETL & extraction workflows: Leveraged AWS Glue, Lambda, and Apache Hudi to ingest and integrate new data with existing tables—implementing advanced upsert and custom merge logic to process millions of records daily, and developing data extraction workflows using S3 events, Lambda, and SNS to serve internal teams.
- Fortified platform security & governance: Mitigated vulnerabilities using Maven, managed IAM roles for cross-team data sharing, enforced robust KMS permissions, and implemented secure API gateway authorization with Python JWT.
- Transformed business intelligence & reporting: Orchestrated seamless QuickSight embedding by whitelisting URLs, developed API interfaces for managing QuickSight groups to enable tiered reporting, automated dashboard promotions using bundled assets, and enhanced reporting through Athena interfacer views and auditing tools.
- Enhanced data integrity & quality assurance: Developed serverless solutions with Lambda and DynamoDB to detect and cleanse sensitive PII/CHD data as well as invalid JSON records, ensuring compliance and maintaining high data quality standards.
- Elevated operational excellence & collaboration: Instituted automated Glue job scheduling via Lambda/DynamoDB, enforced AWS S3 retention policies for cost control, integrated custom microservices instrumentation with Honeycomb, led daily threat modeling and operations meetings, served as a dedicated on-call responder, managed cross-team schema contracts, and mentored new engineers.
- Pioneered strategic product innovation: Evaluated the viability of integrating emerging formats (e.g., OpenTable) and platforms (e.g., Snowflake) into the data ecosystem, aligning technology roadmaps with evolving business needs.
LittlepayMelbourne, Victoria
Data Engineer
08.2022 - 08.2024
Job overview
- Engineered a robust search & analytics solution: Designed a tailored AWS OpenSearch cluster architecture for a transaction search platform—implementing pre-aggregation, standardized indexing, and upsert strategies along with custom response templates to optimize query performance.
- Streamlined data ingestion & API integration: Built an end-to-end pipeline using AWS Firehose for seamless data ingestion into OpenSearch, integrated AWS API Gateway with optimized Lambda functions (including JSON flattening and latency enhancements), and reinforced API security with AWS WAF.
- Optimized data lake architecture & deployment: Repartitioned the data lake to boost query efficiency and refined deployment pipelines to resolve circular dependencies and schema mismatches, thereby reinforcing a robust data infrastructure.
- Enhanced operational monitoring: Developed comprehensive CloudWatch alerts to continuously track AWS Glue job performance and failures, ensuring rapid detection and remediation of operational issues.
- Advanced testing & validation frameworks: Instituted mock-based testing for Python Lambdas and implemented a Schema Validator Lambda using Python JSON Schema, while executing critical schema updates across multiple ETL tables to maintain data integrity.
- Enabled dynamic business intelligence: Leveraged AWS QuickSight (via CloudFormation) to create secure RLS datasets, automate multi-currency CSV report enhancements, and integrate API-based dashboard workflows—empowering data-driven decision-making.
LittlepayMelbourne, Victoria
Associate Data Engineer
08.2021 - 08.2022
Job overview
- Optimized ETL infrastructure & storage management: Dynamically provisioned AWS Glue workers, established Bronze layer data storage in AWS S3, and implemented secure S3 replication for pre-production environments—ensuring robust data availability and continuity.
- Enhanced data quality & processing efficiency: Deployed advanced deduplication techniques using window functions and leveraged Spark UI for performance tuning to maintain high-integrity, efficient ETL pipelines.
- Automated monitoring & proactive alerting: Developed comprehensive CloudWatch dashboards with targeted annotations and integrated event-driven alerts via SNS and Lambda—routing notifications to Slack and OpsGenie to swiftly detect and remediate ETL issues.
- Strengthened data governance & modernization: Documented critical business tables in Confluence, created ERD diagrams to map complex relationships, and contributed to migration initiatives from MySQL to PostgreSQL to enhance data stewardship.
- Streamlined quality assurance & testing: Enhanced integration testing with Gherkin and built robust unit tests in Scala and Python to ensure reliable code quality and system stability.
- Developed reusable, cross-functional solutions: Created a common utility library for ETL pipelines and launched a B2B data sharing product to boost e-commerce insights and foster inter-service collaboration.
- Enhanced data quality for analysis by cleansing, validating, and standardizing raw datasets.
Isgood.aiMelbourne, Victoria
Associate Data Scientist
07.2020 - 08.2021
Job overview
- Engineered data wrangling and text processing pipelines using Pandas, NLTK, and spaCy to extract actionable insights from unstructured data.
- Optimized AWS infrastructure by managing billing reviews, server configurations, and cost efficiency initiatives, enhancing cloud resource utilization.
- Developed and deployed a scalable PostgreSQL database from modeled unstructured data, complete with comprehensive infrastructure diagrams for AWS deployment.
- Conducted in-depth research on SDG, GRI, and IRIS indicators for impact evaluation while effectively collaborating with cross-functional teams.
- Documenting Code, Processes and Procedures for a growing team
ELTAQMelbourne, Victoria
Software Developer Intern
04.2020 - 12.2020
Job overview
- Executed spend taxonomy analysis using UNSCPC codes to streamline and accurately classify expenditure data.
- Designed and maintained dynamic data visualization dashboards with Plotly and Tableau, delivering real-time, stakeholder-friendly insights.
- Implemented advanced machine learning techniques—including XGBoost and Word2Vec—alongside custom Python scripts for high-level text classification and vectorization.
Swinburne University of TechnologyHawthorn, Victoria
Data Analyst Intern
12.2019 - 03.2020
Job overview
- Conducted descriptive statistical analyses and authored detailed reports for publication, highlighting key data insights.
- Executed multivariate regression and correlation analyses, documenting comprehensive findings for academic and industry dissemination.
- Developed and presented research posters at expos, effectively demonstrating advanced presentation skills.
- Utilized SPSS for rigorous data validation and imputation, ensuring the integrity and reliability of datasets.
- Performed both qualitative and quantitative data entry with precision, underscoring strong attention to detail.
Paysys Labs
Information Technology Intern
09.2016 - 11.2017
Job overview
- Managed operational portals to streamline merchandise activities, ensuring efficient digital administration.
- Developed comprehensive instruction manuals and executed repetitive application testing to standardize processes and secure approvals.
- Collaborated with developers to enhance user experience and drive improvements in IT platforms.
- Supported the System Administrator in maintaining and troubleshooting IT systems, bolstering overall operational efficiency.
Education
Swinburne University of TechnologyMelbourne, VIC
Bachelor of Science from Computer Science (Data Science)
02.2018 - 07.2020
University Overview
- 3.294 GPA
- Recipient of Golden Key International Honour Society Award
- Studied: Data Visualization, Data
Mining, Data Structures & Patterns
Skills
Cloud Computing (AWS)
Certification
AWS Certified Cloud Practitioner
Timeline
Mid Level Data Engineer
Littlepay
08.2024 - Current
Security Architect: Level 2 - Safestack
10-2023
Secure Developer: Level 2
10-2023
Data Engineer
Littlepay
08.2022 - 08.2024
Associate Data Engineer
Littlepay
08.2021 - 08.2022
SnowPro Core Certification
08-2021
Tableau Desktop Specialist
01-2021
Certified SAFe 5 Practitioner
08-2020
Associate Data Scientist
Isgood.ai
07.2020 - 08.2021
Software Developer Intern
ELTAQ
04.2020 - 12.2020
Data Analyst Intern
Swinburne University of Technology
12.2019 - 03.2020
AWS Certiifed Solutions Architect - Associate
08-2019
AWS Certified Cloud Practitioner
06-2019
Swinburne University of Technology
Bachelor of Science from Computer Science (Data Science)
02.2018 - 07.2020
Information Technology Intern
Paysys Labs
09.2016 - 11.2017
Languages
English
Native or Bilingual
Urdu
Native or Bilingual
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