Enterprise-ready architectures
Design and operationalize fault-tolerant, audit-ready data pipelines across AWS and Google Cloud with robust lineage, alerting, and encryption-by-design practices.
Data Engineering & Analytics Leader
Building intelligent data ecosystems that turn sensor noise into strategic foresight.
I specialize in hybrid cloud data platforms, real-time IoT analytics, and predictive intelligence that safeguard high-value supply chains. From TimescaleDB to BigQuery, I architect resilient data products that deliver trusted insights and measurable business impact.
Value propositionStrategic leadership across the data lifecycle
Real-time intelligence
Transform high-frequency telemetry into actionable dashboards, anomaly alerts, and predictive forecasts so teams can intervene before service-level agreements are at risk.
Product mindset
Partner with stakeholders to translate operational pain points into data products that delight end users, scale gracefully, and meet compliance obligations in regulated industries.
Trusted delivery
Lead cross-functional teams, mentor engineers, and automate release cycles so complex solutions launch on time with clear documentation and handoffs.
Technical expertiseTools, platforms, and capabilities
Cloud & Infrastructure
Architect solutions with AWS (Lambda, S3, EventBridge, Glue) and GCP (BigQuery, Dataflow, Pub/Sub, Vertex AI) leveraging infrastructure-as-code, IAM hardening, and observability best practices.
- AWS
- GCP
- Terraform
- Serverless
Data Engineering
Build streaming and batch pipelines, manage schema evolution, and orchestrate ELT workloads that handle multi-million row bursts without downtime.
- TimescaleDB
- PostgreSQL
- BigQuery
- Dataflow
Advanced Analytics
Deliver predictive models for excursion risk scoring, demand forecasting, and anomaly detection using ARIMA, LSTM, and CNN-LSTM architectures.
- TensorFlow
- Vertex AI
- Python
- SQL
Enablement & Governance
Establish CI/CD, automated testing, and documentation frameworks that accelerate delivery while keeping teams aligned with governance and audit requirements.
- CI/CD
- Observability
- Mentoring
- Knowledge sharing
Experience snapshotDriving impact from prototype to production
Hybrid Cloud Data Platform Lead
Steer advisors | 2022 – PresentDirected the architecture of a cross-cloud data backbone ingesting 1.5M+ records every 15 minutes, enabling unified analytics and automated alerts across logistics partners and regulators.
Instituted observability dashboards, incident response playbooks, and versioned infrastructure deployments to keep mission-critical shipments within compliance windows.
Senior Data Engineer
Independent Consultant | 2019 – 2022Delivered ETL frameworks, streaming integrations, and ML prototypes for global clients in healthcare and supply chain, reducing manual reporting time by 60%.
Coached analytics teams on data quality, metadata management, and continuous delivery best practices to unlock faster iteration cycles.
Business Intelligence Engineer
Global Manufacturing Client | 2016 – 2019Transformed raw operational data into curated dashboards and executive scorecards, providing transparency on plant efficiency, asset utilization, and compliance readiness.
Featured workSelected projects & measurable outcomes
Automated Hybrid Pipeline for IoT Telemetry
Engineered an end-to-end ingestion flow that replicates time-series data from TimescaleDB to AWS S3 via Lambda, stages records in Google Cloud Storage, and loads curated tables into BigQuery through Dataflow.
Implemented incremental load logic using timestamp checkpoints and environment-aware deployments, shrinking refresh cycles from hours to minutes.
Temperature Excursion Risk Intelligence
Built a classification engine that synthesizes sensor telemetry and logistics data in BigQuery to rank shipments by excursion severity with configurable 15, 30, and 60 minute thresholds.
Automated alerting through Cloud Functions and messaging channels, cutting investigation time by 45% and meeting WHO GDP audit expectations.
Predictive Forecasting Platform
Delivered a forecasting platform that blends ARIMA baselines with LSTM and CNN-LSTM models to anticipate thermal excursions before they violate SLAs.
Surfaced model insights through FastAPI services and executive dashboards, enabling operations teams to prioritize interventions by risk level.
Secure BigQuery Access APIs
Launched serverless APIs with API-key authentication that expose curated shipment metrics with parameterized windows (e.g., last 24 hours, trailing 7 days) and automated UTC normalization.
Empowered customer success teams to answer client queries in minutes instead of waiting for scheduled batch reports.
“Alka pairs deep technical mastery with calm, decisive leadership. She can translate complex telemetry into boardroom-ready narratives and guide teams to deliver production-grade solutions under pressure.”
Let’s partner to build resilient, insight-driven platforms.
I’m currently advising organizations on accelerating data modernization, de-risking cold-chain operations, and launching predictive analytics initiatives. If you’re ready to turn raw telemetry into competitive advantage, let’s talk.