data.agentroy.xyzData & databases — administration, engineering, BIResume (PDF)agentroy.xyz ↗

Mayank Roy

01

What the role asks for

Requirements on the left, what I actually have on the right. Depth is self-rated and deliberately honest — anything that is working knowledge rather than production experience says so.

RequirementEvidenceDepth
Core done it in production Applied used in real work, not a specialism Growing competent, still deepening
02

Things I built that you can look at

Working systems, not coursework. Several are live and clickable.

GL-coding pipeline

Python · SQL Server · pyodbc · rules engine · LLM fallback

Turns raw bank transaction exports into cleaned, coded, import-ready files for accounting systems. Deterministic SQL rules handle recurring transactions; a model call resolves only novel ones and writes its decision back as a new rule row.

The rule table extends itself — per-transaction cost falls as the system sees more data. Reconciliation logic blocks double-counting on liability accounts. Live demo →

Oilfield operations dashboard

Python · SQL · multi-source joins · web app

Pulls production, cost and operational records from separate systems into one executive view, with the joins and unit reconciliation that field data always needs before it can be compared.

One screen instead of four exports. Live demo →

Company Man dashboard

Python · vision extraction · local-first · nginx

A rig-site reporting tool for the company man. Photograph the tank board, the mud report, the morning numbers — the app reads them, returns a formatted report and a mobile dashboard the office can open. Runs on the company man's own laptop with a folder connection, or hosted.

Built from seven years of field experience with how rig-site data is captured and re-entered. Product page →
03

Experience

Twelve years across two halves of the same problem: capturing messy operational data at the source, and building the databases and pipelines that make it usable.

2025 —
present

Data & Automation Engineer

Independent consultant · New Mexico
  • Build and run production pipelines against client SQL Server databases via pyodbc — schema mapping, staging tables, transaction-level transforms, import-ready outputs.
  • Validation layers that reject malformed records before load, reconciliation logic with safeguards against double-counting, and an audit trail on every automated decision.
  • Provision and administer the infrastructure end to end: Ubuntu servers, nginx, TLS, SSH key management, git-push deployment.
2023 —
present

Founder & Lead Engineer

Web3UTXOS Technologies Pvt. Ltd. · DPIIT-recognized technology startup
  • Own architecture, engineering and release process end to end — Linux server and cloud edge provisioning, Git workflow, code review, internal Python tooling.
  • Designed append-only, audit-ready record structures for data that must not be alterable after it is written.
  • Enforced automated testing as a release gate — 29/29 passing across four modules plus a 7/7 append-only log suite.
Feb 2023 —
Apr 2025

Power BI Report Developer / Data Analyst

EDGE Services
  • Wrote and optimized SQL against SQL Server and MySQL — index design, join restructuring and query tuning that materially cut refresh and load times on large operational datasets.
  • Built dimensional models with DAX and Power Query ETL feeding dashboards of real-time drilling and geological data: formation tops, mud-log, LWD/MWD, directional surveys, cuttings and gas shows.
  • Managed large-scale operational log datasets on Hadoop/HDFS for storage, processing and retrieval; reconciled them against relational sources.
  • Automated recurring reporting with Excel VBA and Python, removing manual data handling and the errors that came with it.
  • Version-controlled reports, models and scripts in GitLab; administered secure SSH access to remote database servers.
  • Wrote the development standards and data-definition references; trained mud-loggers, technical staff and clients on every system delivered.
Aug 2017 —
Jan 2023

Wellsite Geologist / Mud Logger

Weatherford International · Paladin Geological Services · Selman & Associates · SE New Mexico & West Texas
  • Owned data quality control at the point of capture for geological, sample-chemistry and sensor data — the first line of defense for records feeding engineering, regulatory and public reporting.
  • Standardized inconsistently captured field data into structured records; defined naming, unit and depth-reference conventions so datasets from different crews and vendors could be merged.
  • Reconciled real-time sensor and survey streams against independent measurements and caught instrument drift before it propagated downstream.
Mar 2012 —
May 2014

Senior Systems Engineer

Infosys Ltd. · India
  • Built and maintained database-driven enterprise applications in SQL, PL/SQL and core RDBMS concepts; authored stored procedures, queries and reports against production systems.
  • Data extraction, transformation and migration under enterprise change-control, in a large multi-team delivery environment with formal ticketing and code review.
04

Technical detail

Highlighted groups are the ones that matter most for the selected role.

Databases

Microsoft SQL Server · MySQL · PostgreSQL / Cloud SQL · Oracle PL/SQL · SQLite · Hadoop / HDFS

Design & modeling

Schema design and normalization · ER modeling · constraints and referential integrity · stored procedures, views, triggers · window functions · legacy migration · data dictionaries

Administration & tuning

Query optimization and execution plans · index strategy · backup, restore and recovery · role-based access and least privilege · monitoring · capacity management

Pipelines & ETL

Python (pandas, pyodbc, SQLAlchemy) · Power Query · scheduled and event-driven loads · validation and QA harnesses · reconciliation · audit logging · idempotent and append-only patterns

BI & reporting

Power BI (DAX, Power Query, data modeling) · SSRS · advanced Excel and VBA · KPI dashboard design · automated recurring reports · end-user training

AI & automation

Hybrid rules + LLM architectures · LLM-assisted classification with rule write-back · Azure OpenAI integration · exception-handling design

Cloud & DevOps

Ubuntu provisioning and administration · Docker · nginx · SSH key management · Git / GitLab / GitHub · branch-based deploys · automated test suites

Domain data

Drilling and wellsite operations · borehole and formation records · fluid and water sample chemistry · sensor and telemetry time series · LOE and production data · GL and transaction data