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Srisailam Gitte

Mid-level Data Analyst specializing in ETL pipelines and business intelligence

Office of the New York State ComptrollerUniversity at AlbanyAlbany, NY4 Years ExperienceMid LevelWorks On-Site

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About

Analytics-focused candidate with hands-on experience building compliance and contract utilization reporting from messy contract, vendor, subcontractor, and payment data. They combine SQL and Python automation to improve reporting speed and accuracy, and show strong stakeholder discipline through validation sessions, documentation, and dashboard adoption.

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Key Strengths

  • Built SQL pipelines to turn messy multi-source compliance data into reporting tables
  • Strong data quality validation using row counts, unmatched joins, aggregate checks, and source reconciliation
  • SQL performance optimization with staging tables, early filtering, indexed joins, and pre-aggregation
  • Automated recurring reporting workflows in Python with pandas, NumPy, and OpenPyXL
  • Handled large-dataset issues including duplicates, nulls, inconsistent formats, and performance bottlenecks
  • Designed and operationalized business metrics such as contract utilization and retention
  • Effective stakeholder alignment through requirement gathering, sample outputs, demos, and feedback loops
  • Improved reporting speed, accuracy, and compliance tracking

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Experience

Business Data AnalystOffice of the New York State Comptroller · Aug 2025 – Present
Data AnalystNew York State Office of General Services · Apr 2024 – May 2025
Data Research AnalystAspire Systems · Feb 2021 – Apr 2023

Education

University at Albanymaster, Data Science
J.B. Institute of Engineering and Technologybachelor, Electronics and Communication Engineering

Skills

PythonPandasNumPySQLPostgreSQLMySQLPySparkETL PipelinesData ModelingData WarehousingData GovernanceSchema DesignAWSAmazon RedshiftAmazon S3

Languages

English

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Data & AnalyticsPythonpandasNumPySQL

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Connect with Srisailam

Srisailam already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

Recommended

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Hire with Reval

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$250one-time kickoff
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Srisailam GitteMid-level Data Analyst specializing in ETL pipelines and business intelligence