Selenge Tulga

Data Engineer

Austin, Texas, United States6 yrs 11 mos experience

Highly Stable

Key Highlights

7 years of data engineering experience
Expert in building reliable ETL/ELT workflows
Strong foundation in SQL and Python

Stackforce AI infers this person is a Data Engineer specializing in SaaS and Fintech solutions.

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Skills

Core Skills

EtlData Engineering

Other Skills

PythonSQLAirflowMongoDBPostgreSQLData ModelingAWSLaravelOracle DatabaseSparkDatabricksdbt

About

Data Engineer with 7 years of industry experience (4.5 YEO DE + 2.5 YOE SWE) building and operating reliable, production-grade data pipelines that replace manual reporting and support finance and operations teams. I focus on designing maintainable ETL/ELT workflows using AWS, Snowflake, dbt, SQL, and Python, with a strong emphasis on data correctness, observability, and production reliability. My work often involves integrating multiple third-party systems, standardizing messy operational data, and modeling it into trusted analytical datasets used by analytics and business teams. I’m comfortable working across ingestion, transformation, and monitoring, and I prioritize simple, debuggable architectures that scale with real-world constraints. I bring a strong foundation in SQL (PostgreSQL, Snowflake, Redshift) and Python, backed by a background in software engineering and hands-on experience supporting production analytics use cases. I hold a Master’s in Data Science and a Bachelor’s in Computer Science, am AWS certified, and volunteer with the PostgreSQL US Diversity Committee to support open-source initiatives and community growth.

Experience

Zuckerman automation group (zag)

Data Engineer

Feb 2025 – Jan 2026 · 11 mos · Austin, Texas Metropolitan Area · Remote

Led end-to-end design and delivery of an automated operational data platform integrating QuickBooks Time, Fieldwire, and Google Sheets, replacing 15+ manual spreadsheets and establishing a single source of truth.
Built and operated production ETL/ELT pipelines using SQL and Python, with validation, monitoring, and alerting, reducing reporting errors from ~25% to under 3%.
Standardized job IDs, schedules, and financial metrics across systems to enable reliable KPIs for finance, project management, and leadership.
Orchestrated batch and event-driven workflows with Airflow, implementing retries, backfills, and failure alerts for production reliability.
Delivered operational dashboards and analytics used daily by finance and operations teams for decision-making.

PythonETLData Engineering

Butler/till

Data Engineer (Masters Capstone)

Sep 2024 – Dec 2024 · 3 mos · Rochester, New York, United States · Hybrid

Built and evaluated synthetic marketing datasets to support media mix modeling and scenario analysis for client decision-making.
Analyzed marketing spend, media touches, and promotional data to understand channel-level impact across regions.
Evaluated synthetic data quality using SARIMAX and marketing mix models (MMM).
Performed exploratory analysis to identify trends and trade-offs in media spend across channels such as video and display.
Collaborated with cross-functional teammates to deliver data-driven recommendations to the client.

Ur medicine motion laboratories

Data Engineer Intern

May 2024 – Dec 2024 · 7 mos · Rochester, NY · On-site

Designed and automated data pipelines in Python to process large volumes of motion and sensor data, saving 10+ hours of manual work per week.
Built scalable pipelines to process 100,000+ records while ensuring data accuracy and regulatory compliance.
Delivered analytics-ready datasets and dashboards used by researchers for reporting and analysis.

MongoDBPostgreSQL

Goergen institute for data science (gids)

Office Assistant

May 2024 – Dec 2024 · 7 mos · Rochester, New York, United States · Hybrid

Provided organizational support to the faculty and researchers, assisting in the preparation of data-related materials, reports, and presentations for projects.
Assisted in maintaining and organizing data sets for various ongoing research projects, ensuring that data is properly stored and easily accessible to the research team.
Liaised with department heads, faculty, and students, ensuring clear communication and smooth operations for institute-led projects and events.
Managed and organized important documents, ensuring the integrity and confidentiality of research data and institutional records.
Used Microsoft Office Suite and other project management tools to support the day-to-day operations-

Улаанбаатар төмөр зам хнн - ulaanbaatar railway jvc

2 roles

Data Engineer

Promoted

Jan 2020 – Jul 2023 · 3 yrs 6 mos · On-site

Re-architected legacy railway signal pipelines, introducing automated batch and streaming processing that reduced manual data entry by ~87%.
Designed and operated AWS-based ETL pipelines for financial reconciliation, integrating on-prem systems, partner bank APIs, and batch files.
Implemented idempotent processing, schema validation, and reconciliation checks to ensure accurate and trusted financial reporting.
Delivered near–real-time dashboards providing visibility into signal anomalies and operational risks for leadership.

Data ModelingSQLData EngineeringETL

Software Engineer

Jul 2017 – Jan 2020 · 2 yrs 6 mos · On-site

Owned backend systems supporting locomotive repair scheduling, driving significant operational efficiency and business impact.
Designed and maintained relational data models processing 50,000+ transactions daily.
Optimized SQL queries and indexing, reducing critical query latency by ~40% in production systems.

LaravelOracle Database