anusha.
Work Skills Experience Contact

Database Developer, building toward Data Engineering

Hi, I'm Anusha —
I build the pipelines behind the dashboards.

I currently own database development end-to-end for a government data platform — schema design, pipelines between Oracle and PostgreSQL, and the queries that keep reporting accurate at scale. These days I build the systems I want to be hired to build next: ETL pipelines, star schemas, and the analytics that sit on top of them.

See what I've built Get in touch
GitHub LinkedIn Email

Things I've built

Click a project to see how it actually works.

Built in a free Salesforce Developer Edition org with synthetic data. I imported 195 messy accounts: 36 failed because of inconsistent Billing Country values (UK, IN, india, Bharat, SG). I traced them through the error file, standardised the values and reloaded, reaching 194 accounts.

The standard duplicate and matching rules blocked an exact duplicate but missed near-duplicates, so I reviewed accounts manually and removed 15 duplicates (194 to 179). Five Lightning reports now track missing phone, industry, website and city, plus accounts by country.

Salesforce CRMData Import WizardDuplicate RulesLightning ReportsData Quality
View repository →

Click each stage to see what happens there.

Click a stage above to see what it does.
PythonPandasSQLAlchemyPostgreSQL DockerPower BI
View repository →

406,829 orders from the UCI Online Retail dataset, scored with SQL window functions into six segments. Click a segment to see how it's defined. Bar heights are illustrative; exact counts are in the Power BI dashboard.

Click a segment to see how it's defined.

Key finding: "At risk" is the largest segment and the top revenue contributor, so a win-back campaign likely beats spending more on acquisition.

SQLPostgreSQLRFM analysisCohort analysisPower BI
View repository →

What I work with

Languages
PythonSQLPL/SQL
Databases
PostgreSQLOracleSQL Server
Containers & tooling
DockerGit
Warehousing & BI
Power BIStar schema modelingSnowflake (basics)
CRM & data quality
Salesforce CRM (project)Data cleansingData validationDuplicate management
Practices
ETL/ELT designData quality checksQuery optimizationPerformance tuning
Currently learning
AirflowAWS (S3, Athena)PySpark

Experience

  1. Feb 2025 — Present

    Database Developer / Engineer, Quantum Asia Pvt Ltd

    Client: National Informatics Centre, Bangalore. Full ownership of a database with 50+ tables and millions of records — schema design, PL/SQL functions and procedures, pipelines between Oracle and PostgreSQL, validating migrated data for accuracy and consistency, and working directly with government stakeholders on requirements.

    Cut a key report's runtime from 1 minute to 3–4 seconds through indexing, join optimization and query restructuring.

  2. Earlier

    Technical Support Engineer, HP

    Real-time troubleshooting of customer issues over call support.

  3. Internships

    AI Quality Data Analyst — Skill India (IIT Mandi)

    Data validation, pre-processing, and quality checks.

    AI Intern — Giga Skill Technologies

    Built ML models for real-time driver drowsiness detection.

Let's talk data

Open to Data Governance, Data Quality, Data Analyst and Data Engineer roles. Email is the fastest way to reach me.

anushaviru12@gmail.com
GitHub LinkedIn
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